{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Word2Vec\n",
    "\n",
    "The point of this lesson is to introduce how to represent categorical variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "from sklearn.manifold import TSNE\n",
    "\n",
    "import zipfile\n",
    "import collections\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data size 17005207\n",
      "['anarchism', 'originated', 'as', 'a', 'term', 'of', 'abuse', 'first', 'used', 'against']\n"
     ]
    }
   ],
   "source": [
    "def read_data(filename):\n",
    "    \"\"\"Extract the first file enclosed in a zip file as a list of words\"\"\"\n",
    "    with zipfile.ZipFile(filename) as f:\n",
    "        data = tf.compat.as_str(f.read(f.namelist()[0])).split()\n",
    "    return data\n",
    "\n",
    "words = read_data('data/text8.zip')\n",
    "print('Data size %d' % len(words))\n",
    "print(words[:10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most common words (+UNK) [['UNK', 418391], ('the', 1061396), ('of', 593677), ('and', 416629), ('one', 411764)]\n",
      "Sample data [5234, 3081, 12, 6, 195, 2, 3134, 46, 59, 156]\n"
     ]
    }
   ],
   "source": [
    "vocabulary_size = 50000\n",
    "\n",
    "def build_dataset(words):\n",
    "    count = [['UNK', -1]]\n",
    "    count.extend(collections.Counter(words).most_common(vocabulary_size - 1))\n",
    "    dictionary = dict()\n",
    "    for word, _ in count:\n",
    "        dictionary[word] = len(dictionary)\n",
    "    data = list()\n",
    "    unk_count = 0\n",
    "    for word in words:\n",
    "        if word in dictionary:\n",
    "            index = dictionary[word]\n",
    "        else:\n",
    "            index = 0  # dictionary['UNK']\n",
    "            unk_count = unk_count + 1\n",
    "        data.append(index)\n",
    "    count[0][1] = unk_count\n",
    "    reverse_dictionary = dict(zip(dictionary.values(), dictionary.keys())) \n",
    "    return data, count, dictionary, reverse_dictionary\n",
    "\n",
    "data, count, dictionary, reverse_dictionary = build_dataset(words)\n",
    "print('Most common words (+UNK)', count[:5])\n",
    "print('Sample data', data[:10])\n",
    "del words  # Hint to reduce memory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 26.1 s, sys: 90 ms, total: 26.2 s\n",
      "Wall time: 26.3 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "skip_window = 1\n",
    "instances = len(data) - 2*skip_window\n",
    "context = np.zeros((instances,skip_window*2+1),dtype=np.int32)\n",
    "labels = np.zeros((instances,1),dtype=np.int32)\n",
    "\n",
    "k = 0\n",
    "for i in range(skip_window, len(data)-skip_window):\n",
    "    context[k] = data[i-skip_window:i+skip_window+1] # Get surrounding words\n",
    "    labels[k] = data[i] # Get target variable\n",
    "    k += 1\n",
    "    \n",
    "context = np.delete(context,skip_window,1) # delete the middle word\n",
    "    \n",
    "############################\n",
    "# Chunk the data to be passed into the tensorflow Model\n",
    "###########################\n",
    "data_idx = 0\n",
    "def generate_batch(batch_size):\n",
    "    global data_idx\n",
    "\n",
    "    if data_idx+batch_size<instances:\n",
    "        batch_labels = labels[data_idx:data_idx+batch_size]\n",
    "        batch_word_data = context[data_idx:data_idx+batch_size]\n",
    "        data_idx += batch_size\n",
    "    else:\n",
    "        overlay = batch_size - (instances-data_idx)\n",
    "        batch_labels = np.vstack([labels[data_idx:instances],labels[:overlay]])\n",
    "        batch_word_data = np.vstack([context[data_idx:instances],context[:overlay]])\n",
    "        data_idx = overlay\n",
    "    batch_word_data = np.reshape(batch_word_data,(-1,1))\n",
    "\n",
    "    return batch_labels, batch_word_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['anarchism', 'originated', 'as', 'a', 'term', 'of', 'abuse', 'first', 'used', 'against', 'early', 'working', 'class', 'radicals', 'including', 'the', 'diggers', 'of', 'the', 'english', 'revolution', 'and', 'the', 'sans', 'UNK', 'of', 'the', 'french', 'revolution', 'whilst', 'the', 'term', 'is', 'still', 'used', 'in', 'a', 'pejorative', 'way', 'to']\n"
     ]
    }
   ],
   "source": [
    "print( [reverse_dictionary[bi] for bi in data[:40]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    batch: ['anarchism', 'as', 'originated', 'a', 'as', 'term', 'a', 'of', 'term', 'abuse', 'of', 'first', 'abuse', 'used', 'first', 'against', 'used', 'early', 'against', 'working', 'early', 'class', 'working', 'radicals', 'class', 'including', 'radicals', 'the', 'including', 'diggers', 'the', 'of', 'diggers', 'the', 'of', 'english', 'the', 'revolution', 'english', 'and']\n",
      "    labels: ['originated', 'as', 'a', 'term', 'of', 'abuse', 'first', 'used', 'against', 'early', 'working', 'class', 'radicals', 'including', 'the', 'diggers', 'of', 'the', 'english', 'revolution']\n"
     ]
    }
   ],
   "source": [
    "labels_, batch = generate_batch(20)\n",
    "print('    batch:', [reverse_dictionary[bi] for bi in batch.ravel()])\n",
    "print('    labels:', [reverse_dictionary[li] for li in labels_.ravel()])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Shuffle the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data_idx = 0\n",
    "shuffle_idx = np.random.permutation(instances) # create a random permutation to shuffle\n",
    "labels = labels[shuffle_idx]\n",
    "context = context[shuffle_idx]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tensorflow model: (Continuous Bag of Words - CBoW)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "context_window = 2*skip_window\n",
    "batch_size = 128*context_window\n",
    "embedding_size = 128 # Dimension of the embedding vector.\n",
    "# We pick a random validation set to sample nearest neighbors. here we limit the\n",
    "# validation samples to the words that have a low numeric ID, which by\n",
    "# construction are also the most frequent. \n",
    "valid_examples = np.random.choice(100,16,replace=False) # Choose 16 words from top 100\n",
    "num_sampled = 64 # Number of negative examples to sample.\n",
    "\n",
    "sum_ids = np.repeat(np.arange(batch_size/context_window, dtype=np.int32),context_window)\n",
    "\n",
    "graph = tf.Graph()\n",
    "\n",
    "with graph.as_default(), tf.device('/cpu:0'):\n",
    "    # Input data.\n",
    "    train_dataset = tf.placeholder(tf.int32, shape=[batch_size])\n",
    "    train_labels = tf.placeholder(tf.int32, shape=[batch_size/context_window, 1])\n",
    "    segment_ids = tf.constant(sum_ids, dtype=tf.int32)\n",
    "    valid_dataset = tf.constant(valid_examples, dtype=tf.int32)\n",
    "\n",
    "    # Variables.\n",
    "    embeddings = tf.Variable(tf.random_uniform([vocabulary_size, embedding_size], -1.0, 1.0))\n",
    "    softmax_weights = tf.Variable(tf.truncated_normal([vocabulary_size, embedding_size],\n",
    "                             stddev=1.0 / np.sqrt(embedding_size)))\n",
    "    softmax_biases = tf.Variable(tf.zeros([vocabulary_size]),trainable=False)\n",
    "\n",
    "    # Model.\n",
    "    # Look up embeddings for inputs.\n",
    "    embed = tf.segment_mean(tf.nn.embedding_lookup(embeddings, train_dataset),segment_ids)\n",
    "    # Compute the softmax loss, using a sample of the negative labels each time.\n",
    "    loss = tf.reduce_mean(tf.nn.sampled_softmax_loss(softmax_weights, softmax_biases, inputs=embed,\n",
    "                                   labels = train_labels, num_sampled = num_sampled, num_classes = vocabulary_size))\n",
    "\n",
    "    # Optimizer.\n",
    "    optimizer = tf.train.AdagradOptimizer(1.0).minimize(loss)\n",
    "\n",
    "    # Compute the similarity between minibatch examples and all embeddings.\n",
    "    # We use the cosine distance:\n",
    "    norm = tf.sqrt(tf.reduce_sum(tf.square(embeddings), 1, keep_dims=True))\n",
    "    normalized_embeddings = embeddings / norm\n",
    "    valid_embeddings = tf.nn.embedding_lookup(normalized_embeddings, valid_dataset)\n",
    "    similarity = tf.matmul(valid_embeddings, tf.transpose(normalized_embeddings))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From <ipython-input-13-054249f4f672>:4: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.\n",
      "Instructions for updating:\n",
      "Use `tf.global_variables_initializer` instead.\n",
      "Initialized\n",
      "Average loss at step 0: 7.575952\n",
      "Nearest to would: afl, germ, ivanov, clavell, nurses, dina, darkly, gneisenau,\n",
      "Nearest to eight: moctezuma, altruism, dek, reporting, voluminous, preyed, yankovic, tucker,\n",
      "Nearest to a: resignation, baez, friends, ha, gurion, wielded, dissolution, gigue,\n",
      "Nearest to these: puma, vx, orwell, grandpa, yassir, ago, auditorium, colonists,\n",
      "Nearest to be: emissaries, apologize, pepe, canard, anaximander, bdp, motion, argent,\n",
      "Nearest to all: monad, insists, mudd, typhus, pasquale, augustinian, midfield, miko,\n",
      "Nearest to over: affiliation, regrets, willamette, reorganisation, offutt, petition, palestrina, cab,\n",
      "Nearest to first: germanicus, materialism, tube, salem, implies, iib, winner, asp,\n",
      "Nearest to his: wherever, adys, ras, adenine, zuse, kazantzakis, assessing, unchallenged,\n",
      "Nearest to new: humphrey, mba, resurface, saturation, garis, visions, policing, woes,\n",
      "Nearest to up: germanic, late, cultured, partial, coiled, sukkot, mutt, consonances,\n",
      "Nearest to have: endless, escorts, drinkers, mercia, hopper, freda, gray, reporters,\n",
      "Nearest to UNK: franck, rz, fed, keyboards, coax, sanjaks, toes, tasman,\n",
      "Nearest to many: tae, sonatas, violence, deicide, pork, alpaca, lungs, draftsman,\n",
      "Nearest to the: transistor, assertions, monophosphate, praising, electronic, oppression, aureus, garber,\n",
      "Nearest to other: eduard, efficiently, noncommercial, sort, aoe, knocks, microbiologist, ratio,\n",
      "Average loss at step 2000: 4.929066\n",
      "Average loss at step 4000: 4.038768\n",
      "Average loss at step 6000: 3.759638\n",
      "Average loss at step 8000: 3.601624\n",
      "Average loss at step 10000: 3.499300\n",
      "Nearest to would: can, will, could, may, cannot, clavell, to, must,\n",
      "Nearest to eight: nine, seven, six, four, five, three, zero, two,\n",
      "Nearest to a: any, the, wielded, no, irregular, baez, gurion, mss,\n",
      "Nearest to these: some, such, members, twiggy, colonists, breakdance, many, other,\n",
      "Nearest to be: have, is, minardi, been, being, anaximander, was, due,\n",
      "Nearest to all: many, brilliance, lund, miko, reshaping, every, teens, rugrats,\n",
      "Nearest to over: affiliation, same, regrets, mobutu, occupies, commonality, lutherans, willamette,\n",
      "Nearest to first: name, waterford, tube, world, assembly, jadavpur, oswald, aberfoyle,\n",
      "Nearest to his: their, her, its, the, ras, supp, revolting, europe,\n",
      "Nearest to new: woes, igor, policing, visions, mba, moniker, tinge, kill,\n",
      "Nearest to up: germanic, union, deleted, cultured, him, partial, arrested, start,\n",
      "Nearest to have: had, has, do, are, be, were, having, wrongfully,\n",
      "Nearest to UNK: j, skunk, der, professional, toes, n, disneyland, keyboards,\n",
      "Nearest to many: some, several, violence, all, sonatas, countries, other, affirmation,\n",
      "Nearest to the: its, their, his, a, this, assertions, each, her,\n",
      "Nearest to other: several, paisiello, issues, their, fetal, many, bel, efficiently,\n",
      "Average loss at step 12000: 3.413748\n",
      "Average loss at step 14000: 3.351727\n",
      "Average loss at step 16000: 3.299777\n",
      "Average loss at step 18000: 3.251111\n",
      "Average loss at step 20000: 3.218126\n",
      "Nearest to would: will, can, could, may, cannot, should, must, might,\n",
      "Nearest to eight: nine, six, seven, five, four, three, two, zero,\n",
      "Nearest to a: any, the, baez, no, wielded, mixer, germs, mss,\n",
      "Nearest to these: some, such, many, several, their, other, deserve, members,\n",
      "Nearest to be: been, being, is, have, was, are, minardi, joules,\n",
      "Nearest to all: many, every, some, teens, recalled, consistency, reshaping, run,\n",
      "Nearest to over: affiliation, mobutu, occupies, same, regrets, counterintuitive, catwoman, across,\n",
      "Nearest to first: second, waterford, name, assembly, canadiens, jadavpur, salem, oswald,\n",
      "Nearest to his: their, her, its, the, my, your, supp, nmi,\n",
      "Nearest to new: woes, igor, policing, spoons, moniker, pistol, professing, old,\n",
      "Nearest to up: him, them, deleted, out, cultured, germanic, union, profits,\n",
      "Nearest to have: had, were, are, has, having, be, do, stretches,\n",
      "Nearest to UNK: der, j, de, prince, bibles, wolff, skunk, ii,\n",
      "Nearest to many: some, several, all, these, violence, other, affirmation, those,\n",
      "Nearest to the: its, their, his, each, a, this, assertions, her,\n",
      "Nearest to other: several, paisiello, many, different, issues, fetal, these, some,\n",
      "Average loss at step 22000: 3.183077\n",
      "Average loss at step 24000: 3.157295\n",
      "Average loss at step 26000: 3.129828\n",
      "Average loss at step 28000: 3.104955\n",
      "Average loss at step 30000: 3.078519\n",
      "Nearest to would: will, could, can, may, should, cannot, must, might,\n",
      "Nearest to eight: nine, six, seven, five, four, three, zero, two,\n",
      "Nearest to a: any, baez, wielded, the, another, mixer, germs, no,\n",
      "Nearest to these: some, such, many, several, their, those, both, other,\n",
      "Nearest to be: been, being, is, are, have, was, were, joules,\n",
      "Nearest to all: many, both, every, some, teens, consistency, reshaping, lund,\n",
      "Nearest to over: across, affiliation, mobutu, occupies, catwoman, counterintuitive, mortals, jeep,\n",
      "Nearest to first: second, canadiens, waterford, last, name, assembly, salem, jadavpur,\n",
      "Nearest to his: her, their, its, my, your, the, supp, whose,\n",
      "Nearest to new: igor, woes, visions, spoons, moniker, policing, old, qualified,\n",
      "Nearest to up: him, out, them, off, down, cultured, profits, union,\n",
      "Nearest to have: had, has, were, are, having, include, be, mantras,\n",
      "Nearest to UNK: prince, der, j, de, skunk, wolff, stan, tougher,\n",
      "Nearest to many: some, several, all, these, other, various, those, violence,\n",
      "Nearest to the: its, their, his, each, a, assertions, my, this,\n",
      "Nearest to other: paisiello, various, many, several, different, these, fetal, some,\n",
      "Average loss at step 32000: 3.057420\n",
      "Average loss at step 34000: 3.040544\n",
      "Average loss at step 36000: 3.021733\n",
      "Average loss at step 38000: 3.006430\n",
      "Average loss at step 40000: 2.992656\n",
      "Nearest to would: will, could, can, may, should, cannot, must, might,\n",
      "Nearest to eight: seven, six, nine, four, five, three, zero, two,\n",
      "Nearest to a: any, another, wielded, mixer, enough, every, baez, the,\n",
      "Nearest to these: such, many, some, several, those, their, both, certain,\n",
      "Nearest to be: been, being, is, have, are, was, become, hickman,\n",
      "Nearest to all: many, both, every, teens, some, consistency, reshaping, lund,\n",
      "Nearest to over: across, mobutu, occupies, affiliation, off, catwoman, jeep, counterintuitive,\n",
      "Nearest to first: second, last, canadiens, next, waterford, name, jadavpur, den,\n",
      "Nearest to his: her, their, my, your, its, whose, our, the,\n",
      "Nearest to new: igor, old, professing, teh, policing, qualified, matthews, visions,\n",
      "Nearest to up: off, them, him, out, down, cultured, profits, back,\n",
      "Nearest to have: had, has, were, are, having, be, include, produce,\n",
      "Nearest to UNK: prince, der, j, de, lawrence, stratocaster, stan, bibles,\n",
      "Nearest to many: some, several, these, various, all, other, those, most,\n",
      "Nearest to the: its, their, his, our, my, a, assertions, each,\n",
      "Nearest to other: various, different, many, several, paisiello, geographic, these, fetal,\n",
      "Average loss at step 42000: 2.974929\n",
      "Average loss at step 44000: 2.965928\n",
      "Average loss at step 46000: 2.956220\n",
      "Average loss at step 48000: 2.949499\n",
      "Average loss at step 50000: 2.930434\n",
      "Nearest to would: could, will, can, may, should, cannot, must, might,\n",
      "Nearest to eight: seven, nine, six, four, five, three, zero, two,\n",
      "Nearest to a: any, another, every, wielded, the, mixer, baez, germs,\n",
      "Nearest to these: such, many, some, several, those, their, certain, both,\n",
      "Nearest to be: been, being, is, become, have, are, was, were,\n",
      "Nearest to all: both, many, every, teens, some, consistency, reshaping, accommodation,\n",
      "Nearest to over: across, mobutu, catwoman, occupies, affiliation, off, jeep, counterintuitive,\n",
      "Nearest to first: second, last, canadiens, next, waterford, jadavpur, scouring, foliage,\n",
      "Nearest to his: her, their, my, your, its, our, whose, the,\n",
      "Nearest to new: igor, professing, old, teh, qualified, visions, matthews, dagome,\n",
      "Nearest to up: off, out, him, down, them, profits, back, cultured,\n",
      "Nearest to have: had, has, were, are, having, include, contain, produce,\n",
      "Nearest to UNK: prince, der, sender, j, lawrence, ally, stratocaster, heidelberg,\n",
      "Nearest to many: some, several, various, these, all, those, both, other,\n",
      "Nearest to the: its, their, our, a, his, assertions, any, my,\n",
      "Nearest to other: various, different, many, geographic, paisiello, several, some, contempt,\n",
      "Average loss at step 52000: 2.922605\n",
      "Average loss at step 54000: 2.909953\n",
      "Average loss at step 56000: 2.897359\n",
      "Average loss at step 58000: 2.895777\n",
      "Average loss at step 60000: 2.882403\n",
      "Nearest to would: could, will, can, may, should, cannot, might, must,\n",
      "Nearest to eight: seven, nine, six, four, five, three, zero, two,\n",
      "Nearest to a: any, another, wielded, every, mixer, baez, enough, the,\n",
      "Nearest to these: such, many, some, several, those, certain, both, their,\n",
      "Nearest to be: been, being, is, become, were, have, easily, joules,\n",
      "Nearest to all: both, many, every, various, teens, some, consistency, several,\n",
      "Nearest to over: across, mobutu, off, catwoman, occupies, match, express, abrogated,\n",
      "Nearest to first: second, last, next, canadiens, waterford, scouring, third, antibody,\n",
      "Nearest to his: her, their, my, your, its, our, whose, the,\n",
      "Nearest to new: old, professing, igor, teh, qualified, visions, precious, cassette,\n",
      "Nearest to up: off, out, them, down, him, back, profits, cultured,\n",
      "Nearest to have: had, has, were, are, having, contain, include, produce,\n",
      "Nearest to UNK: der, prince, lawrence, heidelberg, searchlight, stratocaster, j, van,\n",
      "Nearest to many: some, several, various, these, all, numerous, most, those,\n",
      "Nearest to the: its, our, their, his, this, assertions, a, every,\n",
      "Nearest to other: various, different, many, several, others, individual, geographic, domestic,\n",
      "Average loss at step 62000: 2.871441\n",
      "Average loss at step 64000: 2.855943\n",
      "Average loss at step 66000: 2.854328\n",
      "Average loss at step 68000: 2.851766\n",
      "Average loss at step 70000: 2.840389\n",
      "Nearest to would: could, will, can, should, may, might, must, cannot,\n",
      "Nearest to eight: seven, nine, six, five, four, three, two, zero,\n",
      "Nearest to a: wielded, another, any, baez, enough, mixer, every, krieg,\n",
      "Nearest to these: such, several, those, some, many, certain, their, both,\n",
      "Nearest to be: been, being, become, easily, is, was, are, joules,\n",
      "Nearest to all: both, various, many, some, every, several, teens, reshaping,\n",
      "Nearest to over: across, mobutu, off, abrogated, catwoman, express, occupies, ko,\n",
      "Nearest to first: second, last, next, canadiens, third, waterford, antibody, biggest,\n",
      "Nearest to his: her, their, my, your, its, our, whose, compatibility,\n",
      "Nearest to new: old, teh, igor, cites, professing, matthews, visions, traditional,\n",
      "Nearest to up: off, out, them, down, him, back, profits, cultured,\n",
      "Nearest to have: had, has, having, were, are, contain, include, produce,\n",
      "Nearest to UNK: der, stan, lawrence, prince, heidelberg, babes, sender, searchlight,\n",
      "Nearest to many: some, several, various, numerous, all, most, these, few,\n",
      "Nearest to the: its, their, our, his, assertions, any, this, each,\n",
      "Nearest to other: various, different, individual, several, many, geographic, microbiologist, others,\n",
      "Average loss at step 72000: 2.831991\n",
      "Average loss at step 74000: 2.819676\n",
      "Average loss at step 76000: 2.810117\n",
      "Average loss at step 78000: 2.812380\n",
      "Average loss at step 80000: 2.800788\n",
      "Nearest to would: could, will, can, should, may, might, must, cannot,\n",
      "Nearest to eight: seven, nine, six, five, four, three, zero, two,\n",
      "Nearest to a: another, wielded, enough, mixer, every, any, baez, clique,\n",
      "Nearest to these: such, those, some, several, certain, many, which, both,\n",
      "Nearest to be: been, being, is, easily, become, were, was, are,\n",
      "Nearest to all: both, every, various, many, teens, consistency, each, some,\n",
      "Nearest to over: across, off, mobutu, within, catwoman, reachable, express, ko,\n",
      "Nearest to first: second, last, next, canadiens, third, waterford, best, biggest,\n",
      "Nearest to his: her, their, my, your, our, its, whose, the,\n",
      "Nearest to new: old, teh, igor, traditional, visions, professing, previous, matt,\n",
      "Nearest to up: off, out, down, them, him, back, profits, cultured,\n",
      "Nearest to have: had, has, having, were, are, contain, include, produce,\n",
      "Nearest to UNK: der, lawrence, heidelberg, stan, prince, stratocaster, van, hoff,\n",
      "Nearest to many: some, several, various, numerous, few, most, all, these,\n",
      "Nearest to the: its, their, our, his, this, assertions, your, each,\n",
      "Nearest to other: various, individual, different, many, others, geographic, several, paisiello,\n",
      "Average loss at step 82000: 2.796695\n",
      "Average loss at step 84000: 2.788741\n",
      "Average loss at step 86000: 2.780458\n",
      "Average loss at step 88000: 2.773420\n",
      "Average loss at step 90000: 2.777055\n",
      "Nearest to would: could, will, should, can, might, must, may, cannot,\n",
      "Nearest to eight: seven, nine, six, four, five, three, zero, two,\n",
      "Nearest to a: another, wielded, enough, mixer, every, baez, mss, invites,\n",
      "Nearest to these: such, those, several, some, certain, many, various, their,\n",
      "Nearest to be: been, being, become, is, serve, easily, have, were,\n",
      "Nearest to all: both, various, many, every, some, several, multiple, teens,\n",
      "Nearest to over: across, off, mobutu, reachable, about, within, catwoman, frisbee,\n",
      "Nearest to first: second, last, next, canadiens, third, waterford, best, earliest,\n",
      "Nearest to his: her, their, my, your, our, its, whose, the,\n",
      "Nearest to new: old, igor, traditional, previous, pistol, teh, theatrically, moniker,\n",
      "Nearest to up: off, out, them, down, him, back, profits, together,\n",
      "Nearest to have: had, has, having, were, are, contain, include, produce,\n",
      "Nearest to UNK: der, heidelberg, lawrence, prince, stratocaster, sender, jo, van,\n",
      "Nearest to many: several, some, numerous, various, few, all, these, most,\n",
      "Nearest to the: its, their, our, his, this, your, each, assertions,\n",
      "Nearest to other: various, individual, others, several, different, many, geographic, some,\n",
      "Average loss at step 92000: 2.765246\n",
      "Average loss at step 94000: 2.754017\n",
      "Average loss at step 96000: 2.756827\n",
      "Average loss at step 98000: 2.747074\n",
      "Average loss at step 100000: 2.745841\n",
      "Nearest to would: could, will, can, might, should, must, may, cannot,\n",
      "Nearest to eight: seven, nine, six, four, five, three, zero, two,\n",
      "Nearest to a: another, wielded, baez, every, enough, clique, mixer, krieg,\n",
      "Nearest to these: those, such, several, some, many, certain, various, environmental,\n",
      "Nearest to be: been, being, become, easily, are, remain, was, is,\n",
      "Nearest to all: both, various, many, every, some, each, teens, consistency,\n",
      "Nearest to over: across, off, about, reachable, mobutu, catwoman, measuring, abrogated,\n",
      "Nearest to first: second, last, next, third, fourth, canadiens, waterford, earliest,\n",
      "Nearest to his: her, their, my, your, our, its, whose, the,\n",
      "Nearest to new: old, traditional, previous, theatrically, igor, pistol, professing, dravidian,\n",
      "Nearest to up: off, out, down, them, him, back, profits, together,\n",
      "Nearest to have: had, has, are, having, contain, were, include, require,\n",
      "Nearest to UNK: prince, der, heidelberg, stratocaster, franck, lawrence, qu, van,\n",
      "Nearest to many: several, some, various, numerous, few, most, all, both,\n",
      "Nearest to the: our, its, their, his, this, assertions, sportsman, any,\n",
      "Nearest to other: various, individual, others, different, several, many, geographic, microbiologist,\n"
     ]
    }
   ],
   "source": [
    "num_steps = 100001\n",
    "\n",
    "with tf.Session(graph=graph) as session:\n",
    "    tf.initialize_all_variables().run()\n",
    "    print('Initialized')\n",
    "    average_loss = 0\n",
    "    for step in range(num_steps):\n",
    "        batch_labels, batch_data = generate_batch(int(batch_size/context_window))\n",
    "        feed_dict = {train_dataset : batch_data.ravel(), train_labels : batch_labels}\n",
    "        _, l = session.run([optimizer, loss], feed_dict=feed_dict)\n",
    "        ############\n",
    "        # Calculate average loss (every 2000 steps)\n",
    "        ################\n",
    "        average_loss += l\n",
    "        if step % 2000 == 0:\n",
    "            if step > 0:\n",
    "                average_loss = average_loss / 2000\n",
    "            # The average loss is an estimate of the loss over the last 2000 batches.\n",
    "            print('Average loss at step %d: %f' % (step, average_loss))\n",
    "            average_loss = 0\n",
    "        ####################\n",
    "        \n",
    "        ##################\n",
    "        # Check with the validation set (every 10000 steps)\n",
    "        ##################\n",
    "        if step % 10000 == 0:\n",
    "            sim = similarity.eval()\n",
    "            for i in range(len(valid_examples)):\n",
    "                valid_word = reverse_dictionary[valid_examples[i]]\n",
    "                top_k = 8 # number of nearest neighbors\n",
    "                nearest = (-sim[i, :]).argsort()[1:top_k+1]\n",
    "                log = 'Nearest to %s:' % valid_word\n",
    "                for k in range(top_k):\n",
    "                    close_word = reverse_dictionary[nearest[k]]\n",
    "                    log = '%s %s,' % (log, close_word) # append the k-the nearest word\n",
    "                print(log)\n",
    "\n",
    "    final_embeddings = normalized_embeddings.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(50000, 128)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_embeddings.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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//56VK1eyc+fOq/oYjUY6depEREQE3t7ejBs3jq+++orevXvToUMH9uzZw549e+jZsydd\nunShV69eHD58GIBePj7EzZhB4cmTYDIx9ttdbJ0RqYRORKSGKZkTEalAefvLuY3soP3lxGL8/Pz4\n8ssvmTlzJvHx8bi6ugIwcuRIoGQrgdJRth07dphL/g8YMIBz585x4cKFSt1n+/bt/O///i/29va0\nadPGvFn4lX744Qf+9re/kZqaSmpqKh9++CE7duwgOjqaF198kU6dOhEfH8++ffuYN28ef//73wEY\nXmzikzNnADBeukR+sYmOBgOn/73ohv9uRETk+iy6NYGIWJfRaGTw4MH06NGDnTt30rVrVx544AH+\n8Y9/cPr0aVatWkW3bt2sHaZNce7SUsmb1Bhvb2/27t3LF198wZw5cxg4sGRHH0fH379AsLensLDw\nmtdo0KABxcV/FOqpztYBXl5e+Pn5AeDj48PAgQMxGAz4+flhNBrJzMxk4sSJHD16FIPBQEFBAQB3\nFxfzenY2M1q05OPMDO77PSktTE+/4VhEROT6NDInUs9c75t1W2c0GvH19bV2GCIWcfLkSRo1asT4\n8eOJjIxk7969FfYNDQ01l/zftm0b7u7uNGnSBE9PT/N5e/fu5ccff7zq3L59+xITE0NRURHp6els\n3bq13HuUJpEAdnZ25td2dnYUFhby7LPP0r9/f1JSUoiNjTUnjo3btqVXI2fisrPYmJXF0CZNAGhQ\nQeVLERGxDI3MidiI559/ng8++IAWLVpw2223ERwcXO7G1df7Zl1E6o4DBw4QGRmJnZ0dDg4OLF26\ntMIKk1FRUTz44IP4+/vTqFEjVqxYAcCoUaNYuXIlPj4+dO/eHW9v76vOHTFiBHFxcdx5553cfvvt\n9OzZ84bizczMpG3btgC899575vaW059kzN9m8MixYwQ3aoirvT0GJydaTn/yhu4jIiKVo2ROxAZ8\n9913rFu3juTkZAoKCggKCiI4OLjcvtf7Zr0+OXbsGKNGjeLNN9+ka9eu1g5HpMrCwsIICwsr03b5\nly4hISFs27YNgGbNmrF+/fqrrtGwYUM2b95c7vVLtyUwGAy89tpr1Y736aefZuLEibzwwgsMGTLE\n3O567738GXAZO5YRrm40aNOGltOfxPXee6t9TxERqZiSOREb8M033zB8+HCcnJxwcnLiXv2CxOHD\nhxk7dizvvfceAQEB1g5HpE5bd+o8Lx1L55f8Ato6OvBMOw9GtW5Wpo+npycpKSnm15ePvF1+7MiR\nI+b2F154wfxzTnAwDdq2ZVJqKnZ2WsUhIlIb9GkrIjbnzJkzDB8+nFWrVl03kfvggw/o1q0bgYGB\nPPzwwxQVFdVSlCJ1w7pT55lx+Dgn8gswASfyC5hx+DjrTp23yPXTT21gzhxvAgNv569/tefX09qO\nQESktiiZE7EBvXv3NhcbyM7O5rPPPiu3X3nfrJeuv7nymC1zdXXl9ttvZ8eOHdfsd+jQIWJiYvjm\nm29ISkrC3t7eXEBC5Gbx0rF0cotNZdpyi028dKz6lSbTT20gNXU2/QcU8dHqO+jV+xKpqbNJP7Wh\n2tcWEZHr0zRLERvQtWtXhg0bhr+/P61atcLPz8+8H9WVDsVvJX71SrLOnaVxc3dCx06gc2j/Wo64\nZt1yyy188sknhIWF4eLiwl/+8pdy+23ZsoXExETzerrc3FxattQ2A1KzoqKicHFxKbdAkTX8kl9Q\npfaqOJYWTXFxbpm24uJcjqVF49F6eLWvLyIi16ZkTqSOK13rcrzbIG4bNIZHWrvyyv33lVsA5VD8\nVja/+RqFl/IByDp7hs1vlhQ9qG8JnbOzM5999hl33303Li4uDBs27Ko+JpOJiRMn8tJLL1khQpG6\noa2jAyfKSdzaOjpU+9p5+eWP7lXULiIilqVpliJ12OVrXS7863mSJ4xk4l2hdBx0D0FBQVf1j1+9\n0pzIlSq8lE/86pW1FXKNu3y6qJubG9999125iRzAwIEDWbt2LadPnwbg/Pnz/PTTT7UWq9w85s+f\nj7e3N3369OHw4cMAJCUl0aNHD/z9/RkxYgS//fabVWJ7pp0HDe0MZdoa2hl4pl3194Bzciz/GhW1\ni4iIZWlkTqQOu3yti+ucP0aXDlfwjXrWubNVarcVR3afYteGNLLP5+PSzJGew9vj3b31dc+78847\neeGFFxg0aBDFxcU4ODjw+uuvc8cdd9RC1HKzSExMZPXq1SQlJVFYWGjeOmTChAksWbKEfv36MXfu\nXJ577jkWLVpU6/GVVq28XjXLG9Gu/QxSU2eXmWppZ9eQdu3rxhRTEZH6TsmcSB1W1bUujZu7k3X2\nTLntturI7lNsXZVK4aViALLP57N1VSpAxQnd/v/AlnmQeYJw11sJXzkX/O+vrZDlJhMfH8+IESNo\n1KgRAMOGDSMnJ4eMjAz69esHwMSJExkzZozVYhzVuplFkrcrla6LO5YWTV5+Ok6OHrRrP0Pr5URE\naomSOZE6rKprXULHTiizZg6gwS2OhI6dUGMx1rRdG9LMiVypwkvF7NqQVn4yt/8/EPsEFPw+UpB5\nvOQ1KKETqQEerYcreRMRsRKtmROpw6q61qVzaH8GTX6Mxu4twGCgsXsLBk1+zKaLn2Sfz69SO1vm\n/ZHIlSrILWkXqQF9+/Zl/fr15ObmkpWVRWxsLM7OzjRt2pT4+HgA3n//ffMonYiIiKVoZE6kDruR\ntS6dQ/vbdPJ2JZdmjuUmbi7NHMs/IfNE1dpFqikoKIjw8HACAgJo2bKleSuMFStWMGXKFC5evEi7\ndu1Yvny5lSMVEZH6xmAyma7fq5aEhISYEhISrB2GiNQhV66ZA2hwix39x3Uqf5rlv31LplZeyfU2\nmF4/Nk0XERGR+stgMCSaTKaQyvTVyJyI1GmlCVulq1kOnFt2zRyAQ8OSdpFacih+K/GrV5J17iyN\nm7sTOnZCvRoxl9pTWFhIgwb6dU1EyqdPBxGp87y7t67UVgTAH0VOfq9mieutJYmcip9ILTkUv7VM\nIaKss2fY/OZrAEro6gmj0cg999xDnz592LlzJ23btmXDhg2cPHmSRx99lDNnztCoUSPeeustPDw8\n8Pf358cff8TOzo6cnBw6derEsWPH+Pnnn6/q36lTJyIiInBycmLfvn307t2bV155xdqPLCJ1lJI5\nEal//O9X8iZWE796ZZmKsgCFl/KJX71SyVw9cvToUT766CPeeust7r//ftatW8fy5ctZtmwZHTp0\nYPfu3UydOpW4uDgCAwP5+uuv6d+/P5999hlhYWE4ODgwefLkcvsDnDhxgp07d2Jvb2/lJxWRukzJ\nnIiIiAVlnTtbpXaxTV5eXgQGBgIQHByM0Whk586dZfYTzM8vSerDw8OJiYmhf//+rF69mqlTp5Kd\nnV1hf4AxY8YokROR61IyJyIiUg1RUVG4uLgwY8YMABo3dyfr7Jmr+jVu7l7boZVr5cqVREdHYzAY\n8Pf35/777+eFF17g0qVLNG/enFWrVtGqVSuioqL4+eefzdMBn3zySZ544glrh19nODr+UVHX3t6e\nX3/9FTc3N5KSkq7qO2zYMP7+979z/vx5EhMTGTBgADk5ORX2B3B2dq6x2EWk/tA+cyIiIhYUOnYC\nDW4pu3VGg1scCR07wUoR/eHgwYO88MILxMXFkZyczKuvvkqfPn349ttv2bdvH2PHjuXll182909N\nTWXTpk3s2bOH5557joKCAitGX7c1adIELy8v1qxZA4DJZCI5ORkAFxcXunbtyrRp0xg6dCj29vbX\n7C8iUllK5kRERKpo/vz5eHt706dPHw4fPgxAUlISPXr0IPzRacT+9Ct2Lk3AYCDPwZG1R44z/skZ\nhIaGkpqaCsCaNWvw9fUlICCAvn371krccXFxjBkzBnf3klHCZs2aceLECcLCwvDz82PhwoUcPHjQ\n3H/IkCE4Ojri7u5Oy5Yt+fXXX2slTlu1atUq3nnnHQICAvDx8WHDhg3mY+Hh4XzwwQeEh4dXqr+I\nSGVomqWIiEgVJCYmsnr1apKSkigsLCQoKIjg4GAmTJjAkiVL6NevH3PnzuWnCxdY9M6HDBw4kHc/\nWHVVkYt58+axadMm2rZtS0ZGhtWe5/HHH+epp55i2LBhbNu2jaioKPOxK6cSFhYWWiHCusfT05OU\nlD/2rSydYguwcePGcs8ZPXo0V+7t6+XlVW7/9957zzKBiki9p5E5ERGRKoiPj2fEiBE0atSIJk2a\nMGzYMHJycsjIyKBfv34ATJw4ke3bt5cpchEYGMjDDz9Meno6AL179yYiIoK33nqLoqKiWol9wIAB\nrFmzhnPnzgFw/vx5MjMzadu2LQArVqyolTjkapmxsRwdMJBDne/k6ICBZMbGWjskEbEBGpkTERGp\nIcXFxRUWuVi2bBm7d+/m888/Jzg4mMTERJo3b16j8fj4+DB79mz69euHvb09Xbp0ISoqijFjxtC0\naVMGDBjAjz/+WKMxyNUyY2NJf3Yuprw8AApPniT92bkAuN57rzVDE5E6TiNzIlLvzJo1i9dff938\nOioqiujoaCtGJPVJ3759Wb9+Pbm5uWRlZREbG4uzszNNmzYlPj4egPfff59+/fpds8hFWloa3bt3\nZ968ebRo0YLjx4/XSvwTJ04kJSWF5ORk3nvvPYYPH86xY8dITExk4cKFbNu2DYCuE7qy2XMz/iv8\nGbR2EP/89J94enrWSow3m9P/XmRO5EqZ8vI4/e9FVopIRGyFkjkRqXfCw8P5z3/+Y379n//8p0zR\nAZHqCAoKIjw8nICAAO655x66du0KlExRjIyMxN/fn6SkJObOLRlZqajIRWRkJH5+fvj6+tKrVy8C\nAgKs9kxX+vzY50TtjCI9Jx0TJtJz0onaGcXnxz6/oev9z//8j3ldoIuLCwBGoxFfX1+LxWzLCn+f\nelvZdhGRUoYrF+NaU0hIiCkhIcHaYYhIPdC5c2e2bNnCmTNnmDp1Kt988421QxKxGYPWDiI95+pE\nwsPZg82jN1fr2i4uLmRnZ2M0Ghk6dGiZQiI3q6MDBlJ48uRV7Q3atKFD3BYrRCQi1mQwGBJNJlNI\nZfpqZE5E6qUxY8awdu1aYmJiNCondc76fb/Qe0EcXrM+p/eCONbv+8XaIZVxKudUldoXLlzI4sWL\nAZg+fToDBgwASrZCGDduHJ6enpw9e7Zmgq0HWk5/EoOTU5k2g5MTLac/aaWIRMRWKJkTkXopPDyc\n1atXs3btWsaMGWPtcETM1u/7hWc+PsAvGbmYgF8ycnnm4wN1KqFr7dy6Su2hoaHm9YIJCQlkZ2dT\nUFBAfHx8re2hZ8tc770Xj+fn0aBNGzAYaNCmDR7Pz1PxExG5LiVzYrNycnIYMmQIAQEB+Pr6EhMT\nQ2JiIv369SM4OJiwsDDS09NJTU2lW7du5vOMRiN+fn4A5fYHuOuuu5g5cybdunXD29vb/EuK2A4f\nHx+ysrJo27YtHh4e1g5HxGzhpsPkFpTdiiC3oIiFmw5bKaKrTQuahpN92ZEiJ3snpgVNK7d/aTXO\nCxcu4OjoSM+ePUlISCA+Pp7Q0NDaCNnmud57Lx3ittD50Pd0iNuiRE5EKkXJnNisjRs30qZNG5KT\nk0lJSWHw4ME8/vjjrF27lsTERB588EFmz55Np06duHTpkrncdum0u4KCgnL7lyosLGTPnj0sWrSI\n5557zlqPKdVw4MABtm7dau0wxIZlZGTwxhtvWPSaJzNyr77PjlUc2rSKuXPn8tVXX111fNu2bQwd\nOtSicVzLkHZDiOoVhYezBwYMeDh7ENUriiHthpTb38HBAS8vL9577z169epFaGgoW7du5YcffqBz\n5861FreIyM1G+8yJzfLz8+Nvf/sbM2fOZOjQoTRt2pSUlBTuvvtuAIqKiswjMvfffz8xMTHMmjWL\nmJgYYmJiOHz4cIX9AUaOHAmUfONsNBpr9+HkhuXsO82FTUaKMvKxd3OkSZgnzl1aWjsssVGlydzU\nqVMtds02bg35pZyErklDB+bNm2ex+1TXkHZDKkzeyhMaGkp0dDTvvvsufn5+PPXUUwQHB2MwGGow\nShGRm5tG5sRmeXt7s3fvXvz8/JgzZw7r1q3Dx8eHpKQkkpKSOHDgAJs3l1RdKy1Vf+TIEQwGAx06\ndMBkMlU4FC60AAAgAElEQVTYH8DR0REAe3t7CgsLrfKMUjU5+06T8fFRijLyASjKyCfj46Pk7Dtt\n5cjEVs2aNYu0tDQCAwOJjIy0yDUjwzrS0MGezJ0x/PLmZE598DTFv53kro4tiIiIYO3atUDJ7INO\nnToRFBTExx9/bJF716TQ0FDS09Pp2bMnrVq1wsnJSVMsRURqmJI5sVknT56kUaNGjB8/nsjISHbv\n3s2ZM2fYtWsXAAUFBRw8eBCA9u3bY29vz/PPP2+ubNixY8cK+4tturDJiKmguEybqaCYC5uM1glI\nbN6CBQto3749SUlJLFy40CLXvK9LWyZ1MnHpyA7aPLCYgEkLcL5gxLetq7lPXl4eDz30ELGxsSQm\nJnLqVPlVJOuSgQMHUlBQgLOzMwBHjhzhqaeeAkrWKru7uwOQnZ0NgKenp7YlEBGpJk2zFJt14MAB\nIiMjsbOzw8HBgaVLl9KgQQOeeOIJMjMzKSws5Mknn8THxwcoGZ2LjIw0r5275ZZbWLt2bYX9xfaU\njshVtl3EWuzPHOZvk8czb94oAJ66UHZtZ2pqKl5eXnTo0AGA8ePH8+abb9Z6nJakKdAiIpanZE5s\nVlhYGGFhYVe1b9++vdz+M2bMYMaMGWXaAgMDy+2/bds288/u7u5aM2cj7N0cy03c7N0crRCNiJQq\nnQJdOnJeOgUaUEInIlINmmYpcoXPj33OoLWD8F/hz6C1g/j82OfWDkkqqUmYJwaHsh9rBgc7moR5\nWicgsXmNGzcmKyvL4tft27cv69evJzc3l6ysLGJjY8sc79SpE0ajkbS0NAA++ugji8dQmzQFWkSk\nZiiZE7nM58c+J2pnFOk56ZgwkZ6TTtTOKCV0NsK5S0vcRnYwj8TZuzniNrJDpb/5NxqNdO7cmYce\neggfHx8GDRpEbu7VVQfl5tG8eXN69+6Nr6+vxQqgAAQFBREeHk5AQAD33HMPXbt2LXPcycmJN998\nkyFDhhAUFETLlrY9eqUp0CIiNcNgMpmsHYNZSEiIKSEhwdphyE1s0NpBpOekX9Xu4ezB5tGbyzlD\n6hOj0cif/vQnEhISCAwM5P7772fYsGGMHz/e2qHJTeZQ/FbiV68k69xZGjd3J3TsBDqH9rd2WDcs\nfcGeCqdAe8zqZoWIRETqLoPBkGgymUIq01dr5kQucyqn/IpxFbVL/ePl5UVgYCCgPQZdXFzMlQdv\nFkd2n2LXhjSyz+fj0syRnsPb4929da3GcCh+K5vffI3CSyXJT9bZM2x+8zUAm03omoR5llkzB5oC\nLSJiCZpmKXKZ1s7l/9JWUbvUP6X7C4L2GLzZHNl9iq2rUsk+X5JEZZ/PZ+uqVI7srt0vc+JXrzQn\ncqUKL+UTv3plrcZhSdWdAi0iIuXTyJzIZaYFTSNqZxR5RXnmNid7J6YFTbNiVCJSG3ZtSKPwUtki\nHYWXitm1Ia1WR+eyzp2tUrutcO7SUsmbiIiFKZkTucyQdkMAeHXvq5zKOUVr59ZMC5pmbheR+qt0\nRK6y7TWlcXN3ss6eKbddRETkckrmRK4wpN0QJW/VtHLlSqKjozEYDPj7+/P+++9bO6RK8fT0JCUl\nhcWLF7N06VKCgoJYtWqVtcOSWuLSzLHcxM2lWe3uUxg6dkKZNXMADW5xJHTshFqNQ0RE6j4lcyJi\nUQcPHuSFF15g586duLu7c/78eWuHdF05+05zYZORoox87N0cee3/lhAXv5Vbb721ytcyGo0MHjyY\n4OBg9u7di4+PDytXrqRRo0Y1ELlYUs/h7dm6KrXMVMsGt9jRc3j7Wo2jtMhJfapmKSIiNUPJnIhY\nVFxcHGPGjMHdvWRKWLNmzawc0bXl7Dtdpsre0zHzMf5sJKz/3UyaOpnp06dX+ZqHDx/mnXfeoXfv\n3jz44IO88cYbzJgxw9Khi4WVrouzdjVLKEnolLyJiMj1qJql1FuLFy+mc+fONG3alAULFlg7HKmj\nLmwylimX/lLYDFq5uBMz9tUbSuQAbrvtNnr37g3A+PHj2bFjh0VilZrn3b01E1/szaPLBjDxxd5W\nSeREREQqS8mc2LxJkybx/fffX9X+xhtv8OWXX/Lbb78xa9YsK0R2cxowYABr1qzh3LlzAHV+mmV5\nGxkDFGfeeNELg8Fwzde24np7zPXq1euax11cXCwZjoiIiFxByZzYvLfffps777yzTNuUKVM4duwY\n99xzD//+97957LHHyMzM5I477qC4uGQUJicnh9tuu42CggLS0tLM65xCQ0NJTU21xqPUCz4+Psye\nPZt+/foREBDAU089Ze2Qrql036sr2bneeNGLn3/+mV27dgHw4Ycf0qdPnxu+Vm1Zd+o8ITsP4rE1\niZCdB1l36vpJ+M6dO2shMhEREamIkjmxKTk5OQwZMoSAgAB8fX2JiYnhrrvuIiEhgZ9++okOHTpw\n9uxZ3njjDezs7Jg7dy5NmzYFwNXVlcDAQL7++msAPvvsM8LCwnBwcGDy5MksWbKExMREoqOjmTp1\nqjUf0+ZNnDiRlJQUkpOTee+992rtviaTyZysV1aTME8MDld8FBqgcf/bbjiOjh078vrrr9O5c2d+\n++03HnnkkRu+Vm1Yd+o8Mw4f50R+ASbgRH4BMw4fv25CVzrylp6eTt++fQkMDMTX15f4+Hhzn+nT\np+Pj48PAgQM5c6ak3P5dd93FzJkz6datG97e3mX6i4iISOUpmRObsnHjRtq0aUNycjIpKSkMHjzY\nfOyOO+5g5syZPPLII/zrX//CwcGB/v3LFhAIDw8nJiYGgNWrVxMeHk52djY7d+5kzJgxBAYG8vDD\nD5Oenl6rz1Uv7P8P/NsXotxK/tz/n1q5rdFopGPHjkyYMAFfX1+OHz9epfOdu7TEbWQH8widvZsj\ndo0ccPZvUbVASp9/kT8NMo188PQwDh06xLp16+p8JcuXjqWTW2wq05ZbbOKlY5V7H3z44YeEhYWR\nlJREcnIygYGBQMmXLyEhIRw8eJB+/frx3HPPmc8pLCxkz549LFq0qEy7iIiIVJ6qWYpN8fPz429/\n+xszZ85k6NChhIaGljk+adIk1qxZw7Jly8wjcpfr27cvjz/+OC+++CKJiYkMGDCAnJwc3NzcSEpK\nqq3HqH/2/wdin4CC3JLXmcdLXgP431/jtz969CgrVqygR48eN3S+c5eWOHdpaX7906yfq3aBMs9v\ngqKCWn3+6volv6BK7Vfq2rUrDz74IAUFBdx3333mZM7Ozo7w8HCgpBDMyJEjzeeU/hwcHIzRaKxG\n9CIiIjcvjcyJTfH29mbv3r34+fkxZ84c5s2bV+b4xYsXOXHiBEC50+0KCwspLCxk2rRpDB06FHt7\ne5o0aYKXlxdr1qwBSqbqJScn1/zD1Cdb5v2RyJUqyC1prwV33HHHDSdycGPrxcq47Pk93exImepy\n3eePiooiOjr6hmO2pLaODlVqv1Lfvn3Zvn07bdu2JSIigpUrV5bb7/JCMI6Ov4+E2ttTWFhYxYhF\nREQElMyJjTl58iSNGjVi/PjxREZGsnfv3jLHZ86cybhx45g3b165VRRnzZpFbm4uH3zwAT/++COf\nfvopULL2Z/r06QQEBNC2bVsef/xxAF555RV8fX3x9fVl0aJFNf+AtirzRNXaLczZ2fmGz73R9WJl\nWPn5q+uZdh40tCtbcbOhnYFn2nlU6vyffvqJVq1a8dBDDzFp0iTz+7K4uJi1a9cCtlMIRkRExJYo\nmRObcuDAAbp160ZgYCDPPfccc+bMMR/7+uuv+e6778wJ3eDBg4mNjSUiIoLXXnsNgAULFuDt7Y3J\nZGLixInmwgsZGRnceuutJCcnExYWxuzZs0lMTGT58uXs3r2bb7/9lrfeeot9+/ZZ5bnrPNdbq9Ze\nh1R3vRhQ6eefP38+3t7e9OnTh8OHDwPUiUqqo1o3I7rjbdzq6IABuNXRgeiOtzGqdeU2fN+2bRsB\nAQF06dKFmJgYpk2bBpQk2Xv27MHX15e4uDjmzp1bg08hIiJy8zGYTKbr96olISEhpoSEBGuHIfWY\n0Whk6NChpKSk8MsvvzBq1ChmP/owL82fz4WsbCbe3Y+lW3eRnHKQd999l3Pnzpmncj777LO0aNGC\nJ554wspPUQdduWYOwKEh3Lu4xteMXf5veiM8tiZR3qegAUjvH1i5i1Ti+RMTE4mIiGD37t0UFhYS\nFBTElClT+O9//8uyZcvo0KEDu3fv5plnniEuLu6GnkVERERsn8FgSDSZTCGV6asCKFJ/7P9PyRql\nzBMlIyID514zkWjbti2n00/yzqJ/c1tjZy46OvBNcgqF2VmcSNKXClVS+vdchb9/S/H09LzhRA5K\n1oWdKKfQR2XXiwGVev74+HhGjBhhrmw5bNgw8vLyzJVUS+Xn3/hm5Tahiu9TERERqZiSOakfKllN\nsXHjxmRlZZlft254C1+nHmVKvx7kXLrEyp178b/Vg/jVKwn9f48TERHBrFmzMJlMfPLJJ7z//vu1\n+VS2xf/+WvmlfN2p87x0LJ1f8gto6+jAM+08Kj0dsDzPtPNgxuHjZaZaVmW9mNkNPH9xcfHNVUnV\nylVPRURE6hutmZP6oZLVFJs3b07v3r3x9fUlMjKSW5s4U1xswr2xM7c2deXipQLatWhK1rmzBAUF\nERERQbdu3ejevTuTJk2iS5cutfhQciWLFCu5QnXXi1VW3759Wb9+Pbm5uWRlZREbG0ujRo1urkqq\nFbxPc76IYsiQIQQEBODr62veC1JERESuTWvmpH6IcoOKVj5FZVR42puPPkDW2TNXtTd2b8Hk15db\nLj6xiJCdB8udEnmrowMJvXysEFHVzJ8/nxUrVtCyZUtuv/12goKCGDVqFI888gjp6ekUFBQwduzY\n+lsopIL36brvC9no+hfeeustADIzM3F1da3l4EREROqGqqyZUzIn9cO/fUumbF3J9TaYXvF6qkPx\nW9n85msUXvpjnVKDWxwZNPkxvu8QYNHpfFJ9FilWItZTwfv0SH5LBn1UQHh4OEOHDiU0NNQKwYmI\niNQNVUnmNM1S6oeBc0uqB17OoWFJ+zV0Du3PoMmP0di9BRgMNHZvYU7kLD2dT6qvuptb1zVHdp9i\nxd+/4fUpcaz4+zcc2X3K2iHVrArep97/O5+9e/fi5+fHnDlzzBVkRURE5NpUAEXqh2pUU+wc2p/O\nof3LtP1158EK9x7T6Jz1WKxYSR1wZPcptq5KpfBSMQDZ5/PZuqpkjznv7q2tGVrNqeB9etK9D80a\nNWL8+PG4ubnx9ttvWzdOERERG6FkTuoPC1ZT/KWcdVnXapfaUZpI14fpr7s2pJkTuVKFl4rZtSGt\n/iZzUO779MCmTURGRmJnZ4eDgwNLly61UnAiIiK2RcmcSDkssveY1IhRrZvZZPJ2pezz5e8nV1F7\nfRYWFkZYWJi1wxAREbE5WjMnFvXKK6/g6+uLr68vixYtwmg00rlzZx566CF8fHwYNGgQubklpcnT\n0tIYPHgwwcHBhIaGkpqaauXo//BMOw8a2hnKtNnqdD6pm1yaOVapvT666dYMioiIWJiSObGYxMRE\nli9fzu7du/n222956623+O233zh69CiPPvooBw8exM3NjXXr1gEwefJklixZQmJiItHR0UydOtXK\nT/CH2tp7TG5ePYe3p8EtZT+CG9xiR8/h7a0UUe0qXTNYOhJZumZQCZ2IiEjlaZqlWMyOHTsYMWIE\nzs7OAIwcOZL4+Hi8vLwIDCwpGx8cHIzRaCQ7O5udO3cyZswY8/n5+XVrell9mc4ndVPpurhdG9LI\nPp+PSzNHeg5vX7/Xy13mpl0zKCIiYkFK5qTGOTr+MW3M3t6e3NxciouLcXNzIykpyYqRiViXd/fW\nN23iojWDIiIi1adplmIxoaGhrF+/nosXL5KTk8Mnn3xS4ea/TZo0wcvLizVr1gBgMplITk6uzXBF\nxIq0ZlBERKT6lMyJxQQFBREREUG3bt3o3r07kyZNomnTphX2X7VqFe+88w4BAQH4+PiwYcOGCvvO\nnTuXr776qibCFhEruNnXDIqIiFiCwWQyXb9XLQkJCTElJCRYOwwREakFR3afumnXDN5sMjIy+PDD\nD5k6dSrbtm0jOjqazz77zNphiYjUSQaDIdFkMoVUpq9G5sQqMmNjOTpgIIc638nRAQPJjI0FqHAr\ng4iICNauXQuAp6cn//jHPwgKCsLPz8+8pUFOTg4PPvgg3bp1o0uXLtcc6RMR6/Pu3pqJL/bm0WUD\nmPhibyVy9VhGRgZvvPGGtcMQEal3lMxJrcuMjSX92bkUnjwJJhOFJ0+S/uxcc0JX0VYGl3N3d2fv\n3r088sgjREdHAzB//nwGDBjAnj172Lp1K5GRkeTk5NTqs4mIyNVmzZpFWloagYGBREZGkp2dzejR\no+nUqRPjxo2jdJZQYmIi/fr1Izg4mLCwMNLT00lLSyMoKMh8raNHj5Z5bUmenp6cPXu2Rq4tIlIT\nlMxJrTv970WY8vLKtJny8jj970UA5W5lcKWRI0dedXzz5s0sWLCAwMBA7rrrLvLy8vj5559r7kGk\nXvruu+/w9/cnLy+PnJwcfHx8SElJsXZYIjZtwYIFtG/fnqSkJBYuXMi+fftYtGgR33//PceOHeOb\nb76hoKCAxx9/nLVr15KYmMiDDz7I7Nmzad++Pa6urubqx8uXL+eBBx6w8hOJiNQN2ppAal1henqF\n7Q6Uv5XBlUr72NvbU1hYCJRUxFy3bh0dO3a0fNBy0+jatSvDhg1jzpw55ObmMn78eHx9fa0dlki9\n0q1bN2699VYAAgMDMRqNuLm5kZKSwt133w1AUVERHh4eAEyaNInly5fzyiuvEBMTw549e6odw333\n3cfx48fJy8tj2rRpTJ482XwsJyeH+++/nxMnTlBUVMSzzz5LeHg4W7ZsYcaMGRQWFtK1a1eWLl1a\n5v8sEZHappE5qXUNfv/PubLtlRUWFsaSJUvM03X27dtXpfMvX9Oxbds2hg4dWq14xHbNnTuXL7/8\nkoSEBJ5++mlrhyNS71z5pV1hYSEmkwkfHx+SkpJISkriwIEDbN68GYBRo0bx3//+l88++4zg4GCa\nN29e7RjeffddEhMTSUhIYPHixZw7d858bOPGjbRp04bk5GRSUlIYPHgweXl5REREEBMTw4EDBygs\nLGTp0qXVjkNEpDqUzEmtazn9SQxOTmXaDE5OtJz+ZLWu++yzz1JQUIC/vz8+Pj48++yzVTr/Rhbo\nFxUVVam/2IZz586RnZ1NVlYWeVdMCRaRqmvcuDFZWVnX7NOxY0fOnDnDrl27ACgoKODgwYMAODk5\nERYWxiOPPGKxKZaLFy8mICCAHj16cPz4cY4ePWo+5ufnx5dffsnMmTOJj4/H1dWVw4cP4+Xlhbe3\nNwATJ05k+/btFolFRORGaZql1DrXe+8FStbOFaan08DDg5bTn8T13ntxhTLrk2bMmHHV+ZevoQsJ\nCWHbtm0ANGzYkP/7v/+74bguX6Dv4OCAs7Mzo0ePJiUlheDgYD744AMMBgOenp6Eh4fz5Zdf8vTT\nT9O1a1ceffRRzpw5Q6NGjXjrrbfo1KkTZ86cYcqUKeZ1e4sWLaJ37943HJ/Unocffpjnn3+eH3/8\nkZkzZ/Laa69ZOyQRm9a8eXN69+6Nr68vDRs2pFWrVlf1ueWWW1i7di1PPPEEmZmZFBYW8uSTT+Lj\n4wPAuHHj+OSTTxg0aFC149m2bRtfffUVu3btolGjRuZ11qW8vb3Zu3cvX3zxBXPmzGHgwIEMHz68\n2vcVEbE0JXNiFa733mtO6iwh/dQGjqVFk5efjpOjB+3az8CjddX+412wYAEpKSkkJSWxbds2hg8f\nzsGDB2nTpg29e/fmm2++oU+fPkDJLyZ79+4FYODAgSxbtowOHTqwe/dupk6dSlxcHNOmTWP69On0\n6dOHn3/+mbCwMA4dOmSxZ5aasXLlShwcHPjLX/5CUVERvXr1Ii4ujgEDBlg7NBGb9uGHH5bbfvmX\nJYGBgVeNduXsO82FTUY+27SSMd6DyNt/DucuLasVS2ZmJk2bNqVRo0akpqby7bffljl+8uRJmjVr\nxvjx43Fzc+Ptt9/m6aefxmg08sMPP/CnP/2J999/n379+lUrDhGR6lIyJzYv/dQGUlNnU1xcUigl\nL/8kqamzAaqc0F2uvAX6pclceHg4ANnZ2ezcuZMxY8aYz8vPzwfgq6++4vvvvze3X7hwgezsbFxc\nXG44JlsVFRWFi4tLuSOtdcWh+K3Er15J1rmzhLV251D8VjqH9mf37t3WDk3kppWz7zQZHx/l/8U8\nw08ZvxAzdhEZH5dMh6xOQjd48GCWLVtG586d6dixIz169Chz/MCBA0RGRmJnZ4eDgwNLly7FycmJ\n5cuXM2bMGHMBlClTplTr+UREqkvJnNi8Y2nR5kSuVHFxLsfSoquVzJW3QL+Us7Pz7/cpxs3NzVwy\nu2wMxXz77bc4XbE+UOqeQ/Fb2fzmaxReKknEs86eYfObJaMFnUP7WzM0kZvahU1GTAXFvD1yvrnN\nVFDMhU3GaiVzjo6O/Pe//72qvXQaf1hYGGFhYWWO5ew7zZ3fNSY2bDH2bo40CfNUJUsRsToVQBGb\nl5df/lYHFbVXpDIL9K/UpEkTvLy8WLNmDVCyPUJycjIAgwYNYsmSJea+5SV89dn8+fPx9vamT58+\nHD582NrhXFP86pXmRK5U4aV84levtFJEIgJQlJFfpfaaUjpCWHrfoox8Mj4+Ss6+07Uah4jIlZTM\nic1zcix/S4OK2ity+QL9yMjISp+3atUq3nnnHQICAvDx8WHDhg1ASaW0hIQE/P39ufPOO1m2bFmV\n4rFliYmJrF69mqSkJL744gu+++47a4d0TVnnzlapXURqh71b+SNfFbXXlNIRwsuVjhCKiFiTplmK\nzWvXfkaZNXMAdnYNade+6uuzKrNA//JqmgBeXl5s3LjxqnPc3d2JiYmpcgz1QXx8PCNGjKBRo0YA\nDBs2zMoRXVvj5u5knT1TbruIWM+n+d8SkncHrZyamdsMDnY0CfOs1TjqygihiMiVNDInNs+j9XA6\ndZqPk2MbwICTYxs6dZpfrfVylpCz7zTpC/ZwYlY86Qv2aDpOHRY6dgINbin7TX+DWxwJHTvBShGJ\nCMBHWz/mYteG5pE4ezdH3EZ2qHY1y6qqKyOEIiJXUjIn9YJH6+H07h3PwAE/0Lt3fJ1I5G7m9RV9\n+/Zl/fr15ObmkpWVRWxsrLVDuqbOof0ZNPkxGru3AIOBxu4tGDT5MRU/EbEwo9FI586deeihh/Dx\n8WHQoEHk5uaSlJREjx498Pf3Z8SIEfz222+sXbuWhIQEJs17nHtWT6b5P0LwmNWtxhO58mJ06NeK\n78+lMWzlFO5+N4JJH88mszCbvK7OBAcHA5CcnIzBYDDvLdq+fXsuXrxYo7GKiCiZE6kBN/v6iqCg\nIMLDwwkICOCee+6ha9eu1g7pujqH9mfy68v52+pYJr++XImcSA05evQojz76KAcPHsTNzY1169Yx\nYcIE/vnPf7J//378/Px47rnnGD16NCEhIaxatYqkpCQaNmxotRg3psXz1LaXmTP0cb588D0639aB\nN05+gtdAH/Ly8rhw4QLx8fGEhIQQHx/PTz/9RMuWLc1TzUVEaorWzInUAK2vgNmzZzN79mxrhyEi\ndYyXlxeBgYEABAcHk5aWRkZGhnkD7okTJ5bZu9MayovxQn42I98s2VfusbQ25hh79erFN998w/bt\n2/n73//Oxo0bMZlMhIaGWi1+Ebl5KJkTqQH2bo7lJm43w/qKI7tPsWtDGtnn83Fp5kjP4e3x7t7a\n2mGJSB1x5R6eGRkZVoymfFWJsW/fvubRuOHDh/PPf/4Tg8HAkCFDaiNUEbnJaZqlSA1oEuaJwaHs\n28saFdhq25Hdp9i6KpXs8yWJbPb5fLauSuXI7lNWjuzm4OLiAsDJkycZPXp0pfuLWJOrqytNmzYl\nPj4egPfff988Sncj+3/WhGvFGBoaygcffECHDh2ws7OjWbNmfPHFF/Tp08eaIYvITUIjcyI1oHSB\n/oVNRooy8rF3c6RJmGetV2Crbbs2pFF4qexawcJLxezakKbRuVrUpk0b1q5da+0wRCptxYoVTJky\nhYsXL9KuXTuWL18OQEREBFOmTKFhw4bs2rWrVtfNVTZGT09PTCYTffv2BaBPnz6cOHGCpk2bWi1W\nEbl5GEwmk7VjMAsJCTElJCRYOwwRuUGvT4mr8NijywbUYiQ3JxcXF7KzszEajQwdOpSUlBTee+89\nPv30Uy5evEhaWhojRozg5ZdfLtP/7Nmz3HvvvcyZM8dcvObChQsUFhaydOlSrf2RWrN//362bNlC\nZmYmrq6uDBw4EH9/f2uHdU2fH/ucV/e+yqmcU7R2bs20oGkMaacpliJy4wwGQ6LJZAqpTF9NsxQR\ni3FpVv6awIrapXYkJSURExPDgQMHiImJ4fjx4+Zjv/76K0OGDGHevHkMGTKEDz/8kLCwMJKSkkhO\nTjYXgZC6LSMjgzfeeAOAbdu2MXToUCtHVHX79+8nNjaWzMxMADIzM4mNjWX//v1Wjqxinx/7nKid\nUaTnpGPCRHpOOlE7o/j82OfXPbc+/JuJiPUpmZM6Y/HixXTu3Jlx48ZZOxS5QT2Ht6fBLWU/Vhrc\nYkfP4e2tFJEADBw4EFdXV5ycnLjzzjv56aefACgoKGDgwIG8/PLL3H333QB07dqV5cuXExUVxYED\nB2jcuLE1Q5dKujwxqK7CwkKLXKeqtmzZQkFBQZm2goICtmzZYpV4KuPVva+SV5RXpi2vKI9X9756\n3XMt+W8mIjcvJXNSZ7zxxht8+eWXrFq16oavYTKZKC4uvn5HqRHe3VvTf1wn80icSzNH+o/rpPVy\nVnZlZb7SX9YbNGhAcHAwmzZtMh/v27cv27dvp23btkRERLBy5cpaj9eWLVy4kMWLFwMwffp0Bgwo\nmZ1QWTMAACAASURBVF4cFxfHuHHj2Lx5Mz179iQoKIgxY8aQnZ1tkfvOmjWLtLQ0AgMDiYyMJDs7\nm9GjR9OpUyfGjRtH6ZKKxMRE+vXrR3BwMGFhYaSnpwNw11138eSTTxISEsKrr77KmTNnGDVqFF27\ndqVr16588803FonzWkpH5CrbXhecyim/uFNF7ZezxL/ZzJkz6datG97e3ubiLCJyc1EyJ3XClClT\nOHbsGPfccw//+te/uO+++/D39+f/s3fvATXf/wPHn+d0JwqRYr9VRuh+oZLj1sTmTr4YI2Yum/tX\nw1zWtvadrczdfO07srmsDdM37DtUphG6SkuJlkvlriiVU53fH+2cdSiku96Pf3Te53PO5/U5rJ3X\n5/1+v16urq6qJTa+vr4EBASoXmNtbU16ejrp6elYWloyceJErK2t1ZaQCbWvk0tbJv3Lnfc392PS\nv9xFIlePSSQStm7dSnJyMl988QUAly9fxtjYmHfffZepU6cSGxtbx1E2LDKZTPWlOjo6mtzcXORy\nOREREdja2uLn58fRo0eJjY3F2dmZr776qlrOu3LlSjp06EB8fDz+/v7ExcWxZs0akpKSSEtL48SJ\nE8jlcmbPns2ePXuIiYlhypQpar0gHz16RHR0NP/85z+ZO3cu8+fPJyoqir179zJ16tRqifNpDAwM\nKjVeH7RtWv7vt4rGy6qOv7OioiLOnDnDmjVr+Pjjj6vtugRBaDhENUuhXti8eTP/+9//CA8P5+OP\nP8bBwYH9+/cTFhbGxIkTiY+Pf+rrU1NT2b59O66urrUUsSA8W9lCJAABAQHk5ubi6+tbt4GVoaGh\nwe7duxk6dCjNmjWjadOm+Pv7o6Wlhb6+vpiZqyQnJydiYmK4f/8+Ojo6ODo6Eh0dTUREBEOHDiUp\nKQl3d3egNHlyc3OrkTi6d+9O+/btAbC3tyc9PR1DQ0MSExNVS2qLi4sxMTFRvWbMmDGqn48ePUpS\nUpLq8f3798nNza3RdhYeHh6EhISoLbXU0tLCw8Ojxs5ZVXMd5+J70ldtqaWuhi5zHedW+r1e5O9s\n5MiRQOm/u/T09CpciSAIDZVI5oR65/fff2fv3r0A9OvXjzt37nD//v2nvubVV18ViVw99+abb7Jr\n1y4MDQ0rPKZPnz4EBATg7KxewCk+Pp7MzEzefPPNmg6zQVMu2TMzM1MlkN7e3nh7e6uOOXDgwBPH\n6+joqC21nDRpUi1E+3LS0tLC3NycwMBAevToga2tLeHh4Vy8eBFzc3P69+/P7t27azyO8pbWKhQK\nrKysiIyMLPc1TZs2Vf1cUlLCqVOn0NXVrfFYlZRVKxtSNUtl1crqqGb5In9nyteUXT4tCELjIpI5\nocHQ1NRU2w9XUPD3ndCyX0KE+kehUHDgwAGk0hdb2R0fH090dLRI5mpQ1vVg0i4FUFCYha6OCRYd\nFmLSdlhdh9UgyWQyAgIC2Lp1KzY2NixYsAAnJydcXV15//33uXjxIq+99hp5eXlkZGTQqVOnKp/z\neZprW1pacuvWLSIjI3Fzc0Mul3PhwgWsrKyeONbT05P169fj4+MDlP43WBuVTW1tbet18laeQRaD\nXih5q+6/M0EQGiexZ06od2QymaoIyrFjxzAyMqJ58+aYmZmp9u/Exsby559/1mWYwjM8vpdRQ0OD\n27dvA/Dpp59iaWlJz549GTdunNpeyJ9++kltQ/+jR49YsWIFQUFB2NvbExQUVFeXVGlPuwFRn2Rd\nDyY5eSkFhZmAgoLCTJKTl5J1PbiuQ2uQZDIZWVlZuLm5YWxsjK6uLjKZjNatWxMYGMi4ceOwtbXF\nzc2N5OTkajlnq1atcHd3x9raWpWAPU5bW5s9e/awaNEi7OzssLe35+TJk+Ueu27dOqKjo7G1taVr\n165s3ry5WuIU/lbdf2eCIDROomm4UG+YmZkRHR2NVCplypQppKWl0aRJE7Zs2YKtrS35+fkMGzaM\njIwMXFxciIyM5JdffgFQ25ck1A/p6elYWFhw8uRJXF1dVX+/f/75J++++y6nTp1CLpfj6OjI9OnT\nWbhwIX369MHJyYlVq1Zx6NAhvvrqK44ePUpgYCDR0dFs2LChri+rUuRyOSYmJqSkpKCvr0/v3r0Z\nOHBgvdozB3DihOyvRE6dro4p7u6iQp4gCIIg1KbKNA0XyyyFeqPs5u39+/c/8byenh6HDx8u97Ui\nkaufytvLeOLECYYNG4auri66uroMGTJE7fmXaUO/lpYWK1asoHv37rRr147OnTvXdUjlKijMqtS4\nUHnnI8KJ+OE7Hty5TbNWRsjGTqSLrG9dh1Whvdfv8nlaFhmFctrpaLHEwoRRbVvWdVjCX3JCQri5\neg1FWVlompjQZv48DB77XSoIQuMgkjmhwdofl4H/rylkZudjaqiHzwBLhju0q+uwhDJeZC/jy7ah\nf86cOcyZM6euw3gqXR2TCmbmTMo5Wqis8xHhHN6ygaJHhQA8uH2Lw1tKZ5nrY0K39/pdFqZcJb+k\ndOXOtUI5C1NKW76IhK7u5YSEkLV8BYq/lm0XZWaStXwFgEjoBKEREnvmhAZpf1wGS/adIyM7HwWQ\nkZ3Pkn3n2B+XUdehCc/g7u5OSEgIBQUF5ObmqlVXrMjzFAqoT85HhLPl/cmsGjuELe9P5nxEeF2H\n9FQWHRYileqpjUmlelh0WFhHEb1cIn74TpXIKRU9KiTih/rZ9uHztCxVIqeUX6Lg8zQxU1sf3Fy9\nRpXIKSkKCri5ek0dRSQIQl0SyZzQIPn/mkK+vFhtLF9ejP+vKXUUkfC8unXrxtChQ7G1teWNN97A\nxsbmmU2B+/btS1JSUoMogKKchXlw+xYoFKpZmPqc0Jm0HUbnzp+hq2MKSNDVMaVz589ENctq8uDO\n7UqN17WMQnmlxoXaVZRVflJd0bggCC83scyyFgUGBuLp6YmpqWldh9LgZWbnV2pcqH1le52B+p7I\nhQsX4uvry8OHD+nVqxdOTk5AafVSgAunrxMZfAmfgVvZ/uEJ3IZ1ICoqqjbDf2FPm4Wpj0vqlEza\nDhPJWw1p1sqoNLkvZ7w+aqejxbVyErd2Olp1EI3wOE0TE4oyn1wWrWkilkULQmMkZuZqUWBgIJnl\n/AIWKs/UUK9S4y87fX39ug6hUqZNm4a9vT2Ojo6MGjUKR0dH1XMXTl8nfGcyuXdLE6Lcu4WE70zm\nwunrL3Su5/ls1q1bR5cuXRg/fjzHjh2rUunvhjYLI9Q82diJaGrrqI1pausgGzuxjiJ6uiUWJuhJ\nJWpjelIJSyxEsvA81qxZw8OHD1WP33zzTbKzs4G/fx+lp6djbW39Qu/fZv48JI81c5fo6tJm/rwX\njFgQhIZMJHOVkJeXx6BBg7Czs8Pa2pqgoCCGDx+uev7IkSOMGDGC4uJivL29sba2xsbGhtWrV7Nn\nzx6io6MZP3489vb25OfnExMTQ+/evXFycmLAgAFk/bVEok+fPsyfPx9nZ2e6dOlCVFQUI0eOpGPH\njixbtqzCWBoTnwGW6GlpqI3paWngM8CyjiJqOHr06FHhc8eOHWPw4ME1HsOuXbuIj48nOTmZJUuW\nqD0XGXyJokclamNFj0qIDL5UY/Fs2rSJI0eOsHPnzioncxXNttTXWRih5nWR9cVz2iyaGbUGiYRm\nRq3xnDar3s7UjmrbkgDLV2ivo4UEaK+jRYDlK42q+ElVbvA8nswdOnQIQ0PDaovNYMgQTD79BE1T\nU5BI0DQ1xeTTT0TxE0FopMQyy0r43//+h6mpKQcPHgQgJyeHjz76iFu3btG6dWu2bdvGlClTiI+P\nJyMjQ7XELDs7G0NDQzZs2EBAQADOzs7I5XJmz55NcHAwrVu3JigoiKVLl7J161agtFFodHQ0a9eu\nZdiwYcTExNCyZUs6dOjA/PnzOXbs2BOxNCbKqpWimqW63Nxchg0bxr1795DL5fj5+TFs2DDS09N5\n44036NmzJzk5OXh6ehIcHIyenh5RUVG88847SKVSLC0t+e233wCe6O02ePBgVS+4mTNnEhUVRX5+\nPl5eXnz88cdA6ZeWBQsW0LRpU9zd3UlLS+PAgQPk5eUxe/ZsEhMTkcvl+Pr6MmxY+Uv6lDNyzzte\nGf7+/vz4448UFhYyYsQIPv74Y2bMmEFaWhpvvPEGU6ZMYfPmzWhoaLBjxw7Wr1+PTCar1DlkYyeq\nVS6E+j0LI5Te4Dh58iSZmZnMmTOHPXv2VPs5usj61tvkrTyj2rZsVMnb4zZt2sTRo0dp3749vr6+\n6Ovrl3sjLC8vj3/84x9cu3aN4uJiRo8eTWZmJn379sXIyIjw8HBVj00jo+q7oWMwZIhI3gRBAEQy\nVyk2Njb885//ZNGiRQwePBiZTMbbb7/Njh07mDx5MpGRkXz33Xc8ePCAtLQ0Zs+ezaBBg/D09Hzi\nvVJSUkhMTKR///4AFBcXY1JmvfvQoUNV57SyslI9Z2FhwdWrV8uNpbEZ7tCu0Sdvj9PV1eXnn3+m\nefPm3L59G1dXV9W/pdTUVHbv3s3u3bvp2rUrXl5eXL58mYsXL7J06VKWL1/OW2+9RUlJCV5eXpw4\ncYJmzZqhUCiQSCSEhYXRqlUrFixYQEFBAfv27aNjx454eHiQkJBAp06dmD59OsePH8fc3Jxx48ap\n4vrss8/o168fW7duJTs7m+7du/P666+X27pAv6VOuYmbfkudJ8Yq4/Dhw6SmpnLmzBkUCgVDhw7l\n+PHjbN68mf/973+Eh4djZGRETk4O+vr6LFz4YpUclV/YG1JPscZOOetiamr6zEROmfgJL4+vvvpK\ndSN16tSpJCcnP/UGT+fOnZkxYwZXrlzh3r17dO3albNnz+Lr60tqaipSqZT79+/z7rvv1vGVCYLQ\nGIhkrhI6depEbGwshw4dYtmyZXh4eDB16lSGDBmCrq4uo0ePRlNTkxYtWnD27Fl+/fVXNm/ezI8/\n/qj6H4WSQqHAysqKyMjIcs+l7LUllUpVPysfFxUVlRvLihUrau7ihQZBoVDw4Ycfcvz4caRSKRkZ\nGdy4cQMAc3Nz7O3tgdJ/X3FxcZw+fRo7Ozu++eYbpk6dioeHB0FBQaxZs4bDhw/z4YcfcuLECXr2\n7AmAgYEBsbGxjBs3jp49e2JqakpWVhZJSUmUlJRgYWGBubk5AOPGjWPLli1AaSL13//+l4CAAAAK\nCgq4cuUKXbp0eeIa3IZ1IHxnstpSS01tKW7DOlTpszl8+DCHDx/GwcEBKJ3FTE1NpVevXlV63/I0\ntFmYxk5fX5/c3FzS09MZPHiwWuGex4lE7uUSExPDtm3bOH36NAqFAhcXF3bs2PHUGzxvvfUW8+fP\np2fPnhw7doz+/fuzaNEibt68SVpaGsbGxhw+fJgePXowc+bMOr5CQRBediKZq4TMzExatmzJhAkT\nMDQ05D//+Q+mpqaYmpri5+fH0aNHAbh9+zba2tqMGjUKS0tLJkyYAKj3yrK0tOTWrVtERkbi5uaG\nXC7nwoULWFlZvXAsgrBz505u3bpFTEwMWlpamJmZUfBXP6KyNwWuXLmClZUVGhoaaGho0KtXL1W1\nSD09Pdq3b4+2tjatWrUiPT2dnj17olAokMlk/Pnnn0RERGBtbc2xY8fw9vZWnaMiCoWCvXv3Ymn5\n7D2NnVzaAqV753LvFqLfUge3YR1U4y9KoVCwZMkSpk+fXqX3qS2PzxYMHz6cgQMH4uTkRGxsLFZW\nVnz33Xc0adKEmJgYFixYQG5uLkZGRgQGBmJiYkKfPn1wcXEhPDyc7Oxsvv3220Y5i1+dlImf8HL4\n/fffGTFihGqVwMiRI4mIiHjqa44ePUpSUpLqsZGRER07diQoKIgOHTogkUho1aoVbdq0Ud1MEwRB\nqCkimauEc+fO4ePjg1QqRUtLi6+//hqA8ePHc+vWLdUsQ0ZGBpMnT6akpHRm4fPPPwfA29ubGTNm\noKenR2RkJHv27GHOnDnk5ORQVFTEvHnznjuZqygWoXHLycmhTZs2aGlpER4ezuXLl596vKGhIc2a\nNeP27dJKi2FhYUgkpVXszMzMuHPnDo8ePeLq1asUFhaira3N/fv30dMrrRp648YNfvnlF/r06YOl\npSVpaWmkp6djZmamVpRnwIABrF+/nvXr1yORSIiLi1PNkJWnk0vbKidvjxswYADLly9n/Pjx6Ovr\nk5GRgZaWFm3atFE7rlmzZty/f79az11Z5c0W9O7dm5SUFL799lvc3d2ZMmUKmzZtYu7cuU/df1tU\nVMSZM2c4dOgQH3/8seqm0/N6vKVKTez/EYSGpKSkhFOnTqGrq6u6saqrq0tYWBgJCQmqG7caGhoU\nFRXVdbiCILzkRDJXCQMGDGDAgAFPjP/+++9qa+Pt7OyIjY194rhRo0YxatQo1WN7e3uOHz/+xHHK\nXltQWtmyT58+5T5XXiwvuzfffJNdu3Y9tTJYnz59VIVmiouL0dAorXoZHx9PZmYmb775Zm2FW+vG\njx/PkCFDsLGxwdnZmc6dO5d7nLm5OSdOnKC4uJiAgACGDh3KlStX6Ny5M1papb2k3N3dad68OUuX\nLiUkJARtbW2g9N+3paUlYWFhvPXWW7i7uwOlM3qbNm1i4MCBNG3alG7duqnOt3z5cubNm4etrS0l\nJSWYm5tz4MCBGv401Hl6enL+/Hnc3NyA0hmWHTt2PJHMDRkyBC8vL4KDg1+oAEp1qGi24JVXXlF9\n3hMmTGDdunUMHDjwqftvR44cCYCTk5Nar7/nUVxcTGBgINbW1qI/Zi0SCXPtkclkeHt7s3jxYhQK\nBT///DPff/89X331leqYx2/weHp6sn79enx8fDh37hyzZ8+mSZMm3Lp1Cy8vL1577TUGDhzItWvX\n6uKSBEFoZEQyV0VOTk40bdqUVatW1cr5lM2Uq3P5WUOwefNmNm/eDICDgwNmZmYsWbKEjz76iMLC\nQjp06MC2bdvQ19fn1KlTrFu3jsTERD744APVZnXlTExMTAwtWrSo4yuqXsplX0ZGRhXuw1TuA5JI\nJAQGBvLBBx9gZ2eHQqHg+++/Z8yYMUybNg0DAwPVcZ6enjg7O+Pt7Y2ZmZkqkfD19SU3N5fQ0FC1\nc/Tt25fk5GQUCgXvv/8+zs7OQGmi9+9//7tGrv1Zyi6Jmzt3LnPnzlV7/nxEOB8O6sv2WZNVxUoS\nEhJqO8znopw1Lfv4efbf7tixg1WrVnHlyhWmT5/Opk2bmDVrVrkVSc3MzBgzZgxHjhxhwYIFqpYq\nyhUFAOvXryckJAS5XM5PP/1U4U0DQajvHB0d8fb2pnv37kDpkubHVw08foNn3bp1vP/++9ja2lJU\nVES/fv3YvHmzqurl7NmzmT17tqqPnPImyv64DOyW/RfzxQcxNdTD7/tfa/VaBUF4OYk+c1UUExPD\n8ePH1fYj1ZTqbqZc3+3YsYPu3btjb29PXFwcMTExZGdnY2xszJQpU5g2bRp37tyhSZMmpKamqs16\nXrlyBU1NTVasWMGoUaPw8/NDIpFw48YNOnXq1Oj68induXOHli1bIpFI8Pf3JzExkRUrVvD5559j\nbW1NRkYGZ86cUR2/YcMGvL29gdIvJMqZAmdnZ7VZYqVvvvkGe3t7rKysyMnJYfr06eyPy8B9ZRjm\niw/ivjKM/XEZtXGpz+V8RDiHt2zgwe1boFDw4PYtDm/ZwPmI8DqNSyaTsX//fh4+fEheXh4///wz\nMpmMK1euqBKqXbt20bNnT7X9twByuZw//vhD9V5//vknQUFBHDp0CFNTUzQ0NNi5cyefffYZ0dHR\nJCQk8Ntvv6klsK1atSI2NpYJEybg7OzMzp07iY+PVy2vNTIyIjY2lpkzZ6qK2ggvpqKeoevXr8fR\n0REbGxuSk5NVx06ZMoXu3bvj4OBAcHBwXYb+0liwYAGJiYkkJiYyb15p4+2yv+86depEQkIC8fHx\nyGQyjIyMCAoKIiEhgaSkJNWNxm4Tu3HY7DC2223x3OPJF//9AjMzM6A0kVuy7xwZ2fkogIzsfJbs\nO1ep34fZ2dls2rQJqL2eoIIg1H8imWtA6qKZcl05f/48QUFBnDhxgvj4eNUX0Lt37yKTybh16xbX\nrl1DV1eXnJwckpKSuHfvnur1HTt25MyZM3z22WdkZGTw+uuv88knnzBy5EheeeUVxowZU4dXVzcy\nMzNxc3N7ouT+mDFjiI+PJzExkYMHD9K6desnXnvh9HW2f3iCjTPC2P7hiQpvIMyfP5/4+HiSkpLY\nuXMnh1PuVfkLTE2K+OE7tX5wAEWPCon44bs6iqhU2dkCFxcXpk6dSosWLbC0tGTjxo106dKFe/fu\nMXPmTLS1tdmzZw+LFi3Czs4Oe3t7tYqLUVFRxMTE0L9/fzIzMwkNDSUtLY0ff/wRR0dHHBwc+OOP\nP9QKOjzrv4+qLN2sj5Szt2ZmZk+tZFkTlP1Lz549S2JiIgMHDgTKT5iVLT7OnDlDeHg4Pj4+5OXl\n1Wq8QvkOph3E96QvWXlZKFCQlZeF70lfDqaV9oL1/zWFfHmx2mvy5cX4/5ry3Ocom8wJgiAoiWWW\nDUhNNlOub0JDQ4mJiVHtu8rPzyczM5OioiJ8fHz48MMP6dy5s2o2YcGCBWp7eoYPHw6U7kssLi5+\n8gSNkKmpKRcuXKj065QzwsobCcoZYeCZS3yf9gWmPvQIfHDndqXGa9OCBQtYsGCB6nF6ejqamprs\n2LHjiWOftv92/fr1TJo0SVWICUpn6/r3709UVBQtWrR4oiJpef3/ylKuRGjoBR5yQkK4uXoNRVlZ\naJqY0Gb+vGc2Yq7uSpYV9QwtmzDv27cPqFyLD6F2rY1dS0GxelXfguIC1sauZZDFIDKz88t9XUXj\n5Vm8eDGXLl3C3t4eLS0tmjZtipeXF4mJiTg5ObFjxw4kEonansvo6GgWLlzIsWPH+O2331TLzCUS\nCcePH6dZs2YvftGCINQLYmauAamoaXJVmynXRwqFgkmTJhEfH098fDy7du3i4sWLGBkZIZVKMTMz\n4+rVq1y8eBEoXVp269Yt1euVXzZbtGiBRCJRlZpOSUmhd+/etX9BDVhVZoSr4wtMTWrWqvwCExWN\nNyQ5ISGk9vPAbPUadq9dy8Xvvwfg7t27XLlyhaZNm2JgYKCqSFqRsi1VXiY5ISFkLV9BUWYmKBQU\nZWaStXwFOSEhfx+U8COstgZfw9I/E36s9jiUPUNtbGxYtmwZn3zyCVB+wqxs8aH8vSgSufrjel75\nqxWU46aGeuU+X9F4eVauXEmHDh2Ij4/H39+fuLg41qxZQ1JSEmlpaZw4ceKprw8ICGDjxo3Ex8cT\nERGhWjYtCELDJpK5BsRtWAc0tdX/yqqjmXJ95OHhwZ49e7h58yYAq1at4ubNm1y/fp0+ffoQFRVF\nmzZtGDNmDFZWVmzZskV17OOMjIzw8fHho48+4vr166K5eiVVZUa4Or7A1CTZ2IloaqvfDNHU1kE2\ndmIdRVSxyiwBLJuovKatzRzDFgyZNg0rMzP69++Pjo4ODg4OdO7cWa0iaXmULVXs7e3Jz68fSXh1\nuLl6DYrH+iMqCgq4uXpN6YOEHyFkDuRcBRSlf4bMqfaELjMzkyZNmjBhwgR8fHzKrYSspGzxoVAo\nAIiLi6vWWIQX17Zp+asUlOM+AyzR09JQe05PSwOfAc/uvVmR7t270759e6RSKfb29s9c8uzu7s6C\nBQtYt24d2dnZaGqqL84qb/9maGgoDg4O2NjYMGXKFAoLX76VQILQ0IlkrgHp5NKWvuM7q2bi9Fvq\n0Hd855eymmXXrl3x8/PD09MTW1tbUlJS+O9//4upqSnHjh0jODiY8ePH8+DBA1q2bMngwYPp0aMH\nAK6urmqtC7S1tTl16hRxcXEYGxvTt2/fRlsA5UVUZUa4Jr7AVORFCgJ0kfXFc9osmhm1BomEZkat\n8Zw2iy6yvtUeX216PFF5o3lz9r1qxn6LDsTExODq6kpgYCAXLlwgNDSUffv2lVvoBkpbqqSkpKgK\noKw6FcvACzcwCY9nxiM9Zv+wr7Yvr1oUZWU9fTz0E5A/lrzK80vHq9G5c+dUhZ4+/vhjli1bVuGx\ny5cvRy6XY2tri5WVFcuXL6/WWIQXN9dxLroaumpjuhq6zHUsXdY43KEdn4+0oZ2hHhKgnaEen4+0\nqdJy87KF18rO4Gpqaqr63JZdPr148WL+85//kJ+fj7u7u6qwjlJ5+ze9vb0JCgri3LlzFBUViZ62\nglAPiT1zDUxNNFOur8aMGfNEIYaydx4XLlyIr68vDx8+pFevXjg5OQHqvfh27dqFtbU1vr6+REZG\n0qtXL1atWoW3tzcaGhp4eXkxdepUFixYQNeuXWvjshoct2Ed1PbMwfPPCCu/qPj/mkJmdj6mhnr4\nDLCslv1yZXsIVkUXWd8Gn7w97pmJygvae/0uC1Oukl9SOjN0rVDOwpSrAIxq27JK713bNE1MSpdY\nljMOQE4FPcIqGn9B5fUvLft7rmzl2Lps8SE83SCLQUDp3rnreddp27Qtcx3nqsah9PdhVX73Pe+S\nZzMzM2JiYnjjjTfYu3evavzSpUvY2NhgY2NDVFQUycnJam1FHt+/2bx5c8zNzenUqRMAkyZNYuPG\njaqKn4Ig1A8imRMarGnTppGUlERBQQGTJk3C0dFR7fmEhATOFZ3j5vCb7NXcy93Yu2RfyH6ih9h/\n/vOf2gy7wVHePHjR/oblfYHx9/dHR0eHOXPmMH/+fM6ePUtYWBhhYWF8++23DB48mH/9618oFAoG\nDRrEF198AZQ2+p4+fTpHjx5l48aN5ObmMm/ePJo0aULPnj2r98IbsGcmKi/o87QsVSKnlF+i4PO0\nrAaXzLWZP4+s5SvUZjAlurq0mf/XF1WD9n8tsXyMQftailBd1vVg0i4FUFCYxb27LVi27CbJyZfr\nJBahfIMsBqklb9WtVatWuLu7Y21tjZ6eHsbGxuUe99FHH/HOO++wfPly+vTpoxpfs2YN4eHhEDcN\nmAAAIABJREFUSKVSrKyseOONN9Rep9y/eejQIZYtW0a/fv1q7FoEQag+IpkTGqx//etfDBw4EFdX\nV7Zt20ZiYiKTJ0/mo48+4ubNm9gPt+f03dPkXc7D9G1T5FI5V3WusiVii9r79OnTh4CAAJydndm9\ne3eFScTcuXM5cOAAenp6BAcHV/g/0pdRdc8Iy2QyVq1axZw5c4iOjqawsBC5XE5ERASdOnVi0aJF\nqubunp6e7N+/n+HDh5OXl4eLiwurVq2ioKCAjh07EhYWxmuvvdYo201U5JmJygvKKJRXarw+U1at\nrLCapceK0j1yZZdaaumVjteyrOvBJCcvpaSkNJbCRzcoLLxJ1vVgTNoOq/V4hLqza9eucsc3bNig\n+lkmk5VbuXj9+vVPfe/MzExatmzJhAkTMDQ0ZMOGDaSnp3Px4kVee+01vv/+e1FATBDqIbFnTmjQ\nLl68yD//+U+Sk5NJTk5m165d/P777wQEBHD06FFKJOpVGBUSBWd0zpT7XpmZmSxatIiwsDDi4+OJ\niopi//79QOnGcFdXV86ePUuvXr345ptvavzaXmZOTk7ExMRw//59dHR0cHNzIzo6moiICAwNDenT\npw+tW7dGU1OT8ePHq8rua2hoqJrDJycnY25uTseOHZFIJEyYMKEuL6leMRgyBJNPP0HT1BQkEjRN\nTTH59JNnlt1/lnY6WpUar+8MhgyhY1goXc4n0TEsVP3zsf0HDFkHBq8AktI/h6wrHa9laZcCVImc\nUklJCdOnTcfKygpPT0/y8/O5dOkSAwcOxMnJCZlM9sSeqNqi3L+cnp5eYfIh1K79cRm4rwzDfPFB\n3FeGldvr8/H9m35+fmzbto3Ro0djY2ODVCplxowZdRB9wzJ16lS1vp2CUNPEzJzQoJmbm2NjYwOA\nlZUVHh4eSCQSbGxsKLhTQFOe7JeVr1l+Rb6oqChVEgGokojhw4ejra2tKq7h5OTEkSNHauiKGgct\nLS3Mzc0JDAykR48e2NraEh4ezsWLF1X7Pcqjq6tbLfvkGgODIUOqnLw9bomFidqeOQA9qYQlFlVb\nvllv2f6jTpK3xxUUPrnX8do1OR8u1WL6tD/4xz/+wd69e9m2bRubN2+mY8eOnD59mvfee4+wsLBa\nj1fZtF6ZzL311lu1HoPwt/1xGSzZd07V8zMjO58l+84BqC2BL2//JoiqqZUltm4ItU3MzAkNWtlq\nXlKpVPVYKpUiVZT/z9tIu/I9xLS0tJBIJEDDb5RcX8hkMgICAujVqxcymYzNmzfj4OBA9+7d+e23\n37h9+zbFxcXs3r273KU9nTt3Jj09nUuXSvvd7d69u7YvodEZ1bYlAZav0F5HCwnQXkeLAMtXGtx+\nuYZGV+fJZNnERBNrKzOg9AZTeno6J0+eZPTo0djb2zN9+nSyqljw5kXp6+sDpdUTIyIisLe3Z/Xq\n1XUSi1BagEqZyCnly4vx/zWlwtdcOH2d7R+eYOOMMLZ/eIILp8vvo9fYldfOoU+fPkRHRwOl/y0s\nXboUOzs7XF1duXHjBgA3btxgxIgR2NnZYWdnp7oBsmPHDtXs6PTp0ykuLq7w3IKgJJI54aVlpGeE\npkR98lkDDRa6Liz3+OdNIoTqIZPJyMrKws3NDWNjY3R1dZHJZJiYmLBy5Ur69u2LnZ0dTk5ODBv2\n5L4gXV1dtmzZwqBBg3B0dKRNmzZ1cBWNz6i2LYnuYUVWX3uie1iJRK4WWHRYiFSq3ptRS0sDiw6l\nv8s0NDS4e/cuhoaGqobi8fHxnD9/vi7CVVm5ciUymYz4+Hjmz59fp7E0ZpnZ5a9GqWj8wunrhO9M\nVvUSzb1bSPjOZJHQlaO8dg5lVbRFY86cOfTu3ZuzZ88SGxuLlZUV58+fJygoiBMnThAfH4+GhgY7\nd+6si8sSGhiRzAkvrWbazRjRcQRNNZsiQUIz7WYMMB9QYbWx500ihOrh4eGBXC6nadPSpbAXLlxg\nwYIFAIwbN45z586RmJioKkIDkJubq/o5ISGB8+fPM3bsWN5++23eeecdDhw4ULsXITQ6K1asYM2a\nNarHS5cuZe3atfj4+GBtbY2NjY2qj+XjvQ9nzZpFYGBgpc9p0nYYnTt/hq6OKSBBR9sYHR1jteIn\nyjLyP/30EwAKhYKzZ8++2EUKLxVTQ71KjUcGX1JrRQNQ9KiEyOBL1R5bQ2djY8ORI0dYtGgRERER\nGBgYqD3/+BYNZduRsLAwZs6cCZTejDEwMCA0NJSYmBi6deuGvb09oaGhpKWl1er1CA2T2DMnNFhm\nZmYkJiaqHpf9klT2udUf/LW8ZxLlHlu2L924ceMYN27cE+cqm0R4eXnh5eVVteCFKklISCAkJAS5\nvLSKYk5ODiEhIQDY2trWZWjCS27KlCmMHDmSefPmUVJSwg8//MCXX37JgQMHOHv2LLdv36Zbt270\n6tWrWs9r0naYKnlLT09HU3PwE8fs3LmTmTNn4ufnh1wuZ+zYsdjZ2VVrHELD4zPAUm3PHICelgY+\nAyzLPV45I/e8443Z4+0cPDw81J6vzBYNhULBpEmT+Pzzz2s0ZuHlI5I5QXiKvdfv8nlaFhmFctrp\naLHEwkQsK6sHQkNDVYmcklwuJzQ0VCRzL0BfX1/thoXS5s2badKkCRMnTiQwMBBPT09MTU3rIML6\nw8zMjFatWhEXF8eNGzdwcHDg999/Z9y4cWhoaGBsbEzv3r2JioqiefPmNRZD2RtZCxf+vXT8f//7\nX42c80U8b5NroWYpi5z4/5pCZnY+poZ6+AywrLCBuX5LnXITN/2WOuUc3bg93s7heYufeHh48PXX\nXzNv3jyKi4vJzc3Fw8ODYcOGMX/+fNq0acPdu3d58OABr776ag1fhdDQiWROECqw9/pdtcp91wrl\nLEwpbSIsErq6lZOTU6nxxqyoqAhNzRf7VV+2DHlgYCDW1taNPpmD0tLjgYGBXL9+nSlTplRY3VZT\nU5OSkr+XqxWU6ftX3c5HhBPxw3c8uHObZq2MkI2dSBdZ3xo73/OwtbVFQ0MDOzs7vL29xb65OjTc\noV2Fydvj3IZ1IHxnstpSS01tKW7DOtRUeA3WuXPn8PHxQSqVoqWlxddff612c6Uia9euZdq0aXz7\n7bdoaGjw9ddf4+bmhp+fH56enpSUlKClpcXGjRtFMic8k0ShUDz7qFri7OysUFYAEoS65nzyD66V\n0wy5vY4W0T2s6iAiQWn16tXlJm4GBgYv5RfG9PR0Vf8w5Wb57777jvPnz7NgwQJyc3MxMjIiMDAQ\nExMT+vTpg729vWrGKD4+nqNHj9KmTRvu3LlDp06dOHToEMOHD+fUqVM8ePCAsWPHkpiYSG5uLp07\nd6a4uJioqChsbGyYNWsW3t7etGvXDj09PSIjI0lKSir33I3Bo0ePsLGxQS6Xk5qaSnBwMP/+9785\ndOgQd+/exdnZmdOnTyOXy5HJZKSkpJCfn4+DgwMfffQR3t7e1RrP+YhwDm/ZQNGjv2dTNLV18Jw2\nq1YTury4m9z/NZ3i7EI0DHVoPsCMpg5PL0yUnZ3Nrl27eO+994DSmY45c+awZ8+e2ghZqMCF09eJ\nDL5E7t1C9Fvq4DasA51c2tZ1WILQaEgkkhiFQuH8PMeKmTlBqEBGOYnc08aF2uPh4aG2Zw5K9yY8\nvl/hZZKSksK3336Lu7s7U6ZMYePGjfz8888EBwfTunVrgoKCWLp0KVu3bgVKEw7lzbEOHTrg5OTE\ngQMHcHNzIzc3l3Xr1nHjxg2++OILZsyYweHDh7l69SojR44kMjKSP//8E39/fzZu3IiLiwvOzs4E\nBATg7OyMXC5n9uzZFZ77ZaetrU3fvn0xNDREQ0ODESNGEBkZiZ2dHRKJhC+//JK2bUu/+P7jH//A\n2toac3NzHBwcaiSeiB++U0vkAIoeFRLxw3e1lszlxd0ke18qCnnpbE5xdiHZ+1IBnprQZWdns2nT\nJlUyZ2pqKhK5eqCTS9tKJW87duxg3bp1PHr0CBcXF2xtbUlPT8ff3x8ondmPjo5mw4YNTxy7adMm\nNDQ00NfXZ+7cuRw4cAA9PT2Cg4MxNjauqUusVxISEggNDSUnJwcDAwM8PDzElgHhuYlqloJQgXY6\nWpUaF2qPra0tQ4YMUVUOMzAwYMiQIS/1//xeeeUV3N3dAZgwYQK//voriYmJ9O/fH3t7e/z8/Lh2\n7Zrq+DFjxqh+9vDwIDQ0lHXr1qGtrY2bmxsHDx5EIpEgk8nQ1tamc+fOXLhwgVdffZXWrVtjYGCA\npqYmxsbGXL58WS2WlJSUp577ZVdSUsKpU6d45513AJBIJPj7+5OYmMi5c+dUn31e3E3mt/QifNRW\ntvfz4/vlm6t9Vg7gwZ3blRp/HuX1zwoNDcXBwQEbGxumTJlCYWFpAmlmZsbi+T54bvHmze3vcu56\nCuOD/kmPDf9gwydfqd7T39+fbt26YWtry0cffQSU9qK7dOkS9vb2+Pj4kJ6ejrW1NVCaAAwfPpz+\n/ftjZmbGhg0b+Oqrr3BwcMDV1ZW7d+8CcOnSJdXMtUwmIzk5GYCffvoJa2tr7Ozsqr0gjfC38krq\n6+vr8/PPP6uOCQoKYuzYsU8tv19RGf+XnbKgl3K1ibKgV0JCQh1HJjQUYmZOECqwxMJEbc8cgJ5U\nwhKLxrGUrL6ztbV9qZO3xykroik1a9YMKysrIiMjyz1e2fIBYMuWLaqKa2fPnsXb25sjR45w584d\nunTpgpbW3zcopFKp2rmkUukTFdgUCsVTz/0yS0pKYvDgwYwYMYKOHTtWeNyLzlS9iGatjHhw+1a5\n4y9K2T/r4MGDQOkXTGtra0JDQ+nUqRMTJ05UFXAAMNEx4tfJW/ENXc+CQ5/z8/hNFBY/4vVvJ7GI\nlRw+fJjU1FTOnDmDQqFg6NChHD9+nJUrV5KYmEh8fDyAqnS7UmJiInFxcRQUFPDaa6/xxRdfEBcX\nx/z58/nuu++YN28e06ZNY/PmzXTs2JHTp0/z3nvvERYWxieffMKvv/5Ku3btyM7OfuHPQni6siX1\nAfLz82nTpg0WFhacOnWKjh07kpycjLu7Oxs3biz3WHiyjH9Fe1FfNqKgl1BVYmZOECowqm1LAixf\nob2OFhJK98oFWL4iip8IdeLKlSuq5GnXrl24urpy69Yt1ZhcLuePP/4o97WXLl1i8ODBJCUlYWxs\nzP/93/+RlZWFrq4uEomEkpISrly5gqVl+aXKQb0yoaWl5XOf+2XTtWtX0tLSWLVq1VOPu/9ruiqR\nU1LIS7j/a3q1xyQbOxFNbfVKg5raOsjGTnzh93y8f1Z6ejrm5uZ06tQJgEmTJnH8+HHV8QMdS5dz\ndm5tgYNJV/R1mtCqiSHaWtpkZ2dz+PBhDh8+jIODA46OjiQnJ5OamvrMOPr27UuzZs1Us8VDhgxR\nxZeenk5ubi4nT55k9OjR2NvbM336dLKysgBwd3fH29ubb775huLi4qedRqgCZUl9ZbP6lJQUfH19\nGTt2LD/++CN79+5lxIgRSCSSCo+FypXxf5mIgl5CVYlkThCeYlTblkT3sCKrrz3RPaxEIifUGUtL\nSzZu3EiXLl24d+8es2fPZs+ePSxatAg7Ozvs7e05efJkua/18fFh+/btXL16FQ8PD/r160erVq0w\nNjbGxsaGwsJCAgMD0dGpuPS4t7c3M2bMwN7enuLi4uc+d2NVnF1+T66Kxquii6wvntNm0cyoNUgk\nNDNqXeXiJ8r+WTY2Nixbtoz9+/c/9fhW/Tsg0ZIilUjR1iyd6ZVoSdFsok1RUREKhYIlS5aovsRf\nvHhRtUz1acr+m5RKparHyhnjkpISDA0NVe8bHx/P+fPngdLWGn5+fly9ehUnJyfu3Lnzoh+H8BQe\nHh7s2bOHmzdvAnD37l0uX77MiBEjCA4OZvfu3YwdO/apxzZmjzcaf9a4IDxOLLMUBEFoADQ1Ndmx\nY4famL29vdrsiNKxY8fUHu/bt++JYy5evFjueTZu3Kj62dfXV3XXHGDUqFHPPLdQSsNQp9zETcOw\nZnp1dZH1rdZiJ4/3z9qwYQPp6elcvHiR1157je+//57evXurjm9q2xq9Fq2QJpd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WAAAg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\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x999/c+bMGRYuXEh2djZLliyhadOmREdHl1kgp8Skd2+aHTtKq4sXaHbsqBTIVXKU2dSc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\nAACABxHmAAAAAMCDCHMAAAAA4EH/D+Lz0Sho4vcnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc15b6ba438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_points = 400\n",
    "\n",
    "tsne = TSNE(perplexity=30, n_components=2, init='pca', n_iter=5000)\n",
    "two_d_embeddings = tsne.fit_transform(final_embeddings[1:num_points+1, :])\n",
    "\n",
    "def plot(embeddings, labels):\n",
    "    plt.figure(figsize=(15,15))  # in inches\n",
    "    for i, label in enumerate(labels):\n",
    "        x, y = embeddings[i,:]\n",
    "        plt.scatter(x, y)\n",
    "        plt.annotate(label, xy=(x, y), xytext=(5, 2), textcoords='offset points',\n",
    "                       ha='right', va='bottom')\n",
    "    plt.show()\n",
    "\n",
    "words = [reverse_dictionary[i] for i in range(1, num_points+1)]\n",
    "plot(two_d_embeddings, words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
